Enterprise Cloud Infrastructure Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 05, 2025 Post Date 107211 Requisition and maintain scalable, highly available, and resilient systems in the cloud and on-prem. Implement any new cloud functionality or migrate existing processes to the cloud and maintain them. Build and deploy systems utilizing Continuous Integration/Continuous Delivery framework and infrastructure automation.This is a hybrid-eligible position. Core Responsibilities Build and manage IaaS, PaaS, and SaaS services (e.g., compute, storage, network, security, administration, automation, application services, and databases) in either native cloud or hybrid cloud environments. Will ensure that the infrastructure is properly optimized for performance, cost, and security.Develop and maintain automation scripts using high-level with a 'devops language' (such as Python, etc) and infrastructure-as-code templates to provision and manage Oracle OCI and AWS resources using Terraform.Engineer processes across various areas like servers, applications, and databases and monitor them to ensure everything works as it should, taking necessary steps to facilitate spikes in traffic and usage.Take responsibility for infrastructure resource design and performance optimization, backup and recovery strategies and implementation, as well as monitoring the overall health of the environment.Develop and maintain efficient and appropriate connectivity solutions between various campus infrastructure to ensure necessary data is available as needed.Collaborate with application development and infrastructure teams to optimize cloud-based solutions, ensuring high performance and cost-effectivenessEnsure monitoring coverage for applications and proactively monitor and manage the health of applications/systems; responsible and accountable for driving the root cause and ensuring all issues are addressed and resolved in a timely fashion.Implement Best Practices for IaaS, PaaS services lifecycle Minimum Qualifications Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities: Demonstrate Cloud Infrastructure experience including but not limited to AWS, GCP, Azure, OCIExtensive Experience with AWS server deployment using AWS CLI, HashiCorp Terraform.Experience in orchestrating environment deployment from OS all the way through the application layers of a solution, using tools such as Docker, Kubernetes, Jenkins, Git, Puppet and many others.Experience with Servers, Infrastructure, Platform Sizing, Infrastructure Cost ReductionExperience with automated deployment/ Continuous Integration/ ReleaseDemonstrate experience in Network Security and Network awareness principal.Demonstrate a full-stack infrastructure including but not limited to database, web server, application server development as code.Good understanding & experience of Networking, Firewall, Security hardening, storage and OS software package management in Unix Environment.Strong understanding of Cloud Technologies with focus on AWS and OCI.Comprehensive knowledge of DevOps practices and tools.Knowledge of infrastructure APIs on cloud platforms such as EC2/VM/Bare Metal/Containers, Storage/EBS/Volumes, Network/VPC/Subnet, Network Interfaces, etc.Extensive experience with deploying Infrastructure as Code (IaC) patterns using TerraformAbility to script proficiently using Unix Shell, Python for automation.Ability to work independently or as a team member and self-motivated in learning new technology.Excellent communication, presentation and collaborative problem-solving skills.Ability to collaborate with vendors and system service providers, provide administration for system solutions, and act as a liaison. Preferred Qualifications: Experience working with Single Sign-On SAML, OpenID is a plus.Experience with AWS SQS, API Gateway, OAuth 2.0 & RESTful APIs is a plus.Experience in Oracle OCI is highly recommended.AWS , OCI certifications preferred. The expected pay range for this position is $150,922 - $155,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture . We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information Schedule: Full-time Job Code: 4762 Employee Status: Regular Grade: K Requisition ID: 107211 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Enterprise Cloud Infrastructure Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 05, 2025 Post Date 107211 Requisition and maintain scalable, highly available, and resilient systems in the cloud and on-prem. Implement any new cloud functionality or migrate existing processes to the cloud and maintain them. Build and deploy systems utilizing Continuous Integration/Continuous Delivery framework and infrastructure automation.This is a hybrid-eligible position. Core Responsibilities Build and manage IaaS, PaaS, and SaaS services (e.g., compute, storage, network, security, administration, automation, application services, and databases) in either native cloud or hybrid cloud environments. Will ensure that the infrastructure is properly optimized for performance, cost, and security.Develop and maintain automation scripts using high-level with a 'devops language' (such as Python, etc) and infrastructure-as-code templates to provision and manage Oracle OCI and AWS resources using Terraform.Engineer processes across various areas like servers, applications, and databases and monitor them to ensure everything works as it should, taking necessary steps to facilitate spikes in traffic and usage.Take responsibility for infrastructure resource design and performance optimization, backup and recovery strategies and implementation, as well as monitoring the overall health of the environment.Develop and maintain efficient and appropriate connectivity solutions between various campus infrastructure to ensure necessary data is available as needed.Collaborate with application development and infrastructure teams to optimize cloud-based solutions, ensuring high performance and cost-effectivenessEnsure monitoring coverage for applications and proactively monitor and manage the health of applications/systems; responsible and accountable for driving the root cause and ensuring all issues are addressed and resolved in a timely fashion.Implement Best Practices for IaaS, PaaS services lifecycle Minimum Qualifications Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities: Demonstrate Cloud Infrastructure experience including but not limited to AWS, GCP, Azure, OCIExtensive Experience with AWS server deployment using AWS CLI, HashiCorp Terraform.Experience in orchestrating environment deployment from OS all the way through the application layers of a solution, using tools such as Docker, Kubernetes, Jenkins, Git, Puppet and many others.Experience with Servers, Infrastructure, Platform Sizing, Infrastructure Cost ReductionExperience with automated deployment/ Continuous Integration/ ReleaseDemonstrate experience in Network Security and Network awareness principal.Demonstrate a full-stack infrastructure including but not limited to database, web server, application server development as code.Good understanding & experience of Networking, Firewall, Security hardening, storage and OS software package management in Unix Environment.Strong understanding of Cloud Technologies with focus on AWS and OCI.Comprehensive knowledge of DevOps practices and tools.Knowledge of infrastructure APIs on cloud platforms such as EC2/VM/Bare Metal/Containers, Storage/EBS/Volumes, Network/VPC/Subnet, Network Interfaces, etc.Extensive experience with deploying Infrastructure as Code (IaC) patterns using TerraformAbility to script proficiently using Unix Shell, Python for automation.Ability to work independently or as a team member and self-motivated in learning new technology.Excellent communication, presentation and collaborative problem-solving skills.Ability to collaborate with vendors and system service providers, provide administration for system solutions, and act as a liaison. Preferred Qualifications: Experience working with Single Sign-On SAML, OpenID is a plus.Experience with AWS SQS, API Gateway, OAuth 2.0 & RESTful APIs is a plus.Experience in Oracle OCI is highly recommended.AWS , OCI certifications preferred. The expected pay range for this position is $150,922 - $155,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture . We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information Schedule: Full-time Job Code: 4762 Employee Status: Regular Grade: K Requisition ID: 107211 Work Arrangement : Hybrid Eligible
AI Applications Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107213 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams(ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting not primary. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary) plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools/frameworks. Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, CrewAI/AutoGen. Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Hybrid search & reranking (BM25+dense, Cohere/Voyage/Jina rerankers), synthetic data generation, provenance/watermarking. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Certifications and Licenses: Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts, and more. Redwood City. Our new Stanford Redwood City campus, opened in 2019, will be the workplace for approximately 2 . click apply for full job details
01/14/2026
Full time
AI Applications Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107213 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams(ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting not primary. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary) plus experience with Node.js/Next.js/React/TypeScript and Java; demonstrated ability to quickly learn new tools/frameworks. Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, CrewAI/AutoGen. Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Hybrid search & reranking (BM25+dense, Cohere/Voyage/Jina rerankers), synthetic data generation, provenance/watermarking. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Certifications and Licenses: Required: One of (or equivalent experience with): Google/AWS/Azure ML/AI certifications or strong demonstrable portfolio of production AI systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts, and more. Redwood City. Our new Stanford Redwood City campus, opened in 2019, will be the workplace for approximately 2 . click apply for full job details
Oracle Cloud Reports Developer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Dec 18, 2025 Post Date 107472 Requisition # JOB PURPOSE At Stanford University IT, nothing matters more than helping the Faculty, Students, Researchers and Staff make the institution the best in the world. The organization's 700+ staff are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across campus and business units. We in University IT are seeking a skilled Oracle Cloud Reports Developer to join our dynamic Data Analytics & Reporting team. The ideal candidate will have deep expertise in Oracle Cloud reporting tools such as OTBI (Oracle Transactional Business Intelligence), BI Publisher, and Fusion Data Intelligence (formerly Fusion Analytics Warehouse). This role will be instrumental in designing and developing scalable, secure, and user-friendly reporting solutions to support enterprise decision-making. The position requires close collaboration with functional teams to transform business needs into actionable insights. CORE DUTIES : Design, develop, and maintain reports and dashboards using OTBI, BI Publisher, and Fusion Data Intelligence. Collaborate with business stakeholders to gather and translate reporting requirements into technical specifications. Build custom data models, subject areas, and data visualizations to support self-service analytics. Optimize report performance and troubleshoot issues related to data accuracy and system integration. Assist in data validation, quality assurance, and system testing for new releases and patches. Provide end-user training and documentation for reports, dashboards, and self-service tools. Partner with functional teams to ensure data alignment with business processes. Support data governance initiatives and promote best practices for secure, compliant reporting. Qualifications : Hands-on experience with OTBI, BI Publisher, and Fusion Data Intelligence/Fusion Analytics Warehouse. Proficiency in writing complex SQL queries and understanding of relational data models. Familiarity with Oracle Cloud subject areas and metadata layers. Understanding of data security models and role-based access in Oracle Cloud. Excellent problem-solving and communication skills. Ability to manage multiple priorities in a fast-paced environment. Here's what you need : Experience with BI Publisher Experience with HCM Extracts HDLs Experience with Spreadsheet loaders Data Mapping Experience with Data Transformation Experience with Data Modeling Experience with Oracle HCM & EBS Cloud modules Experience with Oracle Transactional Business Intelligence (OTBI) EDUCATION : Bachelor's degree and seven years of relevant experience in Computer Science, Information Systems, or a related field, or a combination of education and relevant experience. EXPERIENCE : 3+ years of working experience with Oracle Cloud Applications (HCM, EBS is a must) 5+ years of experience working with Oracle databases and Oracle applications PREFERRED QUALIFICATIONS : Experience with Fusion Data Intelligence (FDI) / Fusion Analytics Warehouse (FAW) implementation and customization. Familiarity with REST APIs, OData connectors, or other integration techniques. Experience with data visualization tools (e.g. OAS DV, Tableau) for cross-platform reporting. Understanding of Oracle Cloud architecture and update cycles. Knowledge of Agile or iterative development methodologies. Oracle Cloud certification(s) in reporting, analytics, or related areas. The expected pay range for this position is $152,535 to $168,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4777 Employee Status: Regular Grade: K Requisition ID: 107472 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Oracle Cloud Reports Developer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Dec 18, 2025 Post Date 107472 Requisition # JOB PURPOSE At Stanford University IT, nothing matters more than helping the Faculty, Students, Researchers and Staff make the institution the best in the world. The organization's 700+ staff are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across campus and business units. We in University IT are seeking a skilled Oracle Cloud Reports Developer to join our dynamic Data Analytics & Reporting team. The ideal candidate will have deep expertise in Oracle Cloud reporting tools such as OTBI (Oracle Transactional Business Intelligence), BI Publisher, and Fusion Data Intelligence (formerly Fusion Analytics Warehouse). This role will be instrumental in designing and developing scalable, secure, and user-friendly reporting solutions to support enterprise decision-making. The position requires close collaboration with functional teams to transform business needs into actionable insights. CORE DUTIES : Design, develop, and maintain reports and dashboards using OTBI, BI Publisher, and Fusion Data Intelligence. Collaborate with business stakeholders to gather and translate reporting requirements into technical specifications. Build custom data models, subject areas, and data visualizations to support self-service analytics. Optimize report performance and troubleshoot issues related to data accuracy and system integration. Assist in data validation, quality assurance, and system testing for new releases and patches. Provide end-user training and documentation for reports, dashboards, and self-service tools. Partner with functional teams to ensure data alignment with business processes. Support data governance initiatives and promote best practices for secure, compliant reporting. Qualifications : Hands-on experience with OTBI, BI Publisher, and Fusion Data Intelligence/Fusion Analytics Warehouse. Proficiency in writing complex SQL queries and understanding of relational data models. Familiarity with Oracle Cloud subject areas and metadata layers. Understanding of data security models and role-based access in Oracle Cloud. Excellent problem-solving and communication skills. Ability to manage multiple priorities in a fast-paced environment. Here's what you need : Experience with BI Publisher Experience with HCM Extracts HDLs Experience with Spreadsheet loaders Data Mapping Experience with Data Transformation Experience with Data Modeling Experience with Oracle HCM & EBS Cloud modules Experience with Oracle Transactional Business Intelligence (OTBI) EDUCATION : Bachelor's degree and seven years of relevant experience in Computer Science, Information Systems, or a related field, or a combination of education and relevant experience. EXPERIENCE : 3+ years of working experience with Oracle Cloud Applications (HCM, EBS is a must) 5+ years of experience working with Oracle databases and Oracle applications PREFERRED QUALIFICATIONS : Experience with Fusion Data Intelligence (FDI) / Fusion Analytics Warehouse (FAW) implementation and customization. Familiarity with REST APIs, OData connectors, or other integration techniques. Experience with data visualization tools (e.g. OAS DV, Tableau) for cross-platform reporting. Understanding of Oracle Cloud architecture and update cycles. Knowledge of Agile or iterative development methodologies. Oracle Cloud certification(s) in reporting, analytics, or related areas. The expected pay range for this position is $152,535 to $168,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4777 Employee Status: Regular Grade: K Requisition ID: 107472 Work Arrangement : Hybrid Eligible
Research Assistant for the Hoover Technology Policy Accelerator Hoover Institution, Stanford, California, United States Administration Dec 04, 2025 Post Date 107853 Requisition # The Hoover Institution at Stanford University is seeking qualified candidates for the full-time position of Research Assistant for the Hoover Technology Policy Accelerator . To ensure your application information is captured in our official files for immediate access to your resume, you must apply to and in the key word search box, indicate Requisition A cover letter and resume are required for full consideration. Working Title:Research Assistant for the Hoover Technology Policy Accelerator Job Title:Social Science Research Professional 2Job Code:4187Grade:GExemption:ExemptSalary Range:$85,376-$99,581Term:Two-year fixed with possibility of renewalWork Arrangment:Onsite About Stanford University's Hoover Institution: The Hoover Institution on War, Revolution, and Peace is a public policy research center devoted to the advanced study of economics, politics, history, and political economy-both domestic and foreign-as well as international affairs. Founded in 1919 by Herbert Hoover before he became the thirty-first president of the United States, the Institution began as a repository of historical material gathered at the end of World War I. The library and archives have grown to be among the largest private repositories of documents on twentieth-century political and economic history. Over time the Institution expanded its mission from collecting archival material to conducting advanced research on contemporary history and economics and applying this scholarship to current public policy challenges. With its eminent scholars and world-renowned library and archives, the Hoover Institution seeks to improve the human condition by advancing ideas that promote economic opportunity and prosperity while securing and safeguarding peace for America and all humanity. About the Hoover Technology Policy Accelerator: The Technology Policy Accelerator brings together scientists and engineers on the front lines of discovery at Stanford with Hoover social scientists and policy experts at the forefront of domestic policy and international relations. It aims to help decision makers in government and business better understand emerging technologies so that the United States can seize opportunities, mitigate risks, and ensure that the American innovation ecosystem continues to thrive. It does this in multiple ways, including by educating policymakers and influencing policy for frontier technologies via research and publishing, by convening leaders in the public, private, and academic communities to share views and forge deeper connections, and by inspiring and training the next generation of scientists and policymakers through fellowships, bootcamps, and other initiatives. JOB PURPOSE: Perform work to research policy topics, conduct technology-related literature reviews, and manage meetings related to the operations of the Technology Policy Accelerator and its Preventing Strategic Technical Surprise Initiative. This position is a two-year fixed term with possibility of renewal, onsite. Note: This position will start in January/February 2026. CORE DUTIES : Assist in identifying existing research of relevance, exercising independent initiative and judgment gained from completing a variety of high level assignments. Interpret, synthesize, and analyze quantitative or qualitative data using scientific, statistical, or interpretive techniques as appropriate. Conduct literature reviews and provide critical analyses that influence the direction of the research and result in independent contributions to research initiatives under the auspices of the Hoover Technology Policy Accelerator. Fact-check and otherwise manage manuscripts prior to submission for publication. Engage effectively with a wide range of stakeholders to achieve goals. Co-author sections of research publications and regulatory reports as needed. Complete project-related administrative and budgetary responsibilities as needed. Supervise staff or students as needed, including oversight and instruction on techniques, as well as consultation on project work. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS: Education & Experience: Bachelor of Arts degree in an applicable social science related field and two years applicable experience, or combination of education and relevant experience in an applicable social science. Strong preference in degree or experience in combination with a STEM related field. Knowledge, Skills, and Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong analytical skills and excellent judgment. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to complete detailed work accurately. Demonstrated oral and written communication skills. Ability to work with human study participants. Developing supervisory skills. Preferred/Desired Knowledge, Skills, and Abilities: Documented interest in issues of national security and/or emerging technologies such as AI or cyber as related to global economic competitiveness and public policy. Strong library research skills (especially the ability to find references to asserted or claimed facts). Proficient in Microsoft Office. Certifications and Licenses: None PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sitting. Occasionally stand/walk, reach/work above shoulders, grasp lightly/fine manipulation, grasp forcefully, use a telephone, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds. Rarely twist/bend/stoop/squat, kneel/crawl. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. WORKING CONDITIONS: May be required to work non-standard, extended or weekend hours in support of research work. The expected pay range for this position is $85,376-$99,581 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients as well as with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. . click apply for full job details
01/14/2026
Full time
Research Assistant for the Hoover Technology Policy Accelerator Hoover Institution, Stanford, California, United States Administration Dec 04, 2025 Post Date 107853 Requisition # The Hoover Institution at Stanford University is seeking qualified candidates for the full-time position of Research Assistant for the Hoover Technology Policy Accelerator . To ensure your application information is captured in our official files for immediate access to your resume, you must apply to and in the key word search box, indicate Requisition A cover letter and resume are required for full consideration. Working Title:Research Assistant for the Hoover Technology Policy Accelerator Job Title:Social Science Research Professional 2Job Code:4187Grade:GExemption:ExemptSalary Range:$85,376-$99,581Term:Two-year fixed with possibility of renewalWork Arrangment:Onsite About Stanford University's Hoover Institution: The Hoover Institution on War, Revolution, and Peace is a public policy research center devoted to the advanced study of economics, politics, history, and political economy-both domestic and foreign-as well as international affairs. Founded in 1919 by Herbert Hoover before he became the thirty-first president of the United States, the Institution began as a repository of historical material gathered at the end of World War I. The library and archives have grown to be among the largest private repositories of documents on twentieth-century political and economic history. Over time the Institution expanded its mission from collecting archival material to conducting advanced research on contemporary history and economics and applying this scholarship to current public policy challenges. With its eminent scholars and world-renowned library and archives, the Hoover Institution seeks to improve the human condition by advancing ideas that promote economic opportunity and prosperity while securing and safeguarding peace for America and all humanity. About the Hoover Technology Policy Accelerator: The Technology Policy Accelerator brings together scientists and engineers on the front lines of discovery at Stanford with Hoover social scientists and policy experts at the forefront of domestic policy and international relations. It aims to help decision makers in government and business better understand emerging technologies so that the United States can seize opportunities, mitigate risks, and ensure that the American innovation ecosystem continues to thrive. It does this in multiple ways, including by educating policymakers and influencing policy for frontier technologies via research and publishing, by convening leaders in the public, private, and academic communities to share views and forge deeper connections, and by inspiring and training the next generation of scientists and policymakers through fellowships, bootcamps, and other initiatives. JOB PURPOSE: Perform work to research policy topics, conduct technology-related literature reviews, and manage meetings related to the operations of the Technology Policy Accelerator and its Preventing Strategic Technical Surprise Initiative. This position is a two-year fixed term with possibility of renewal, onsite. Note: This position will start in January/February 2026. CORE DUTIES : Assist in identifying existing research of relevance, exercising independent initiative and judgment gained from completing a variety of high level assignments. Interpret, synthesize, and analyze quantitative or qualitative data using scientific, statistical, or interpretive techniques as appropriate. Conduct literature reviews and provide critical analyses that influence the direction of the research and result in independent contributions to research initiatives under the auspices of the Hoover Technology Policy Accelerator. Fact-check and otherwise manage manuscripts prior to submission for publication. Engage effectively with a wide range of stakeholders to achieve goals. Co-author sections of research publications and regulatory reports as needed. Complete project-related administrative and budgetary responsibilities as needed. Supervise staff or students as needed, including oversight and instruction on techniques, as well as consultation on project work. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS: Education & Experience: Bachelor of Arts degree in an applicable social science related field and two years applicable experience, or combination of education and relevant experience in an applicable social science. Strong preference in degree or experience in combination with a STEM related field. Knowledge, Skills, and Abilities: Comprehensive understanding of scientific theory and methods. General computer skills and ability to quickly learn and master computer programs. Strong analytical skills and excellent judgment. Ability to work under deadlines with general guidance. Excellent organizational skills and demonstrated ability to complete detailed work accurately. Demonstrated oral and written communication skills. Ability to work with human study participants. Developing supervisory skills. Preferred/Desired Knowledge, Skills, and Abilities: Documented interest in issues of national security and/or emerging technologies such as AI or cyber as related to global economic competitiveness and public policy. Strong library research skills (especially the ability to find references to asserted or claimed facts). Proficient in Microsoft Office. Certifications and Licenses: None PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sitting. Occasionally stand/walk, reach/work above shoulders, grasp lightly/fine manipulation, grasp forcefully, use a telephone, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds. Rarely twist/bend/stoop/squat, kneel/crawl. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. WORKING CONDITIONS: May be required to work non-standard, extended or weekend hours in support of research work. The expected pay range for this position is $85,376-$99,581 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients as well as with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. . click apply for full job details
Web Developer 2 - Hybrid or Remote School of Humanities and Sciences, Stanford, California, United States NewInformation Technology Services 1 day ago Post Date 107996 Requisition # This position has been deemed critical by the School of Humanities & Sciences Dean's Office and is exempt from the hiring freeze. Web Developer 2 - Hybrid or Remote The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 23 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Among the first departments established at Stanford University, the Department of Psychology has a long-standing tradition of ground-breaking theoretical research that also has powerful impact in the real world. The department is ranked as one of the top psychology programs in the nation and has been a leading psychology department among American universities for decades. This extraordinary achievement was honored by the Smithsonian Institution in Washington D.C. in 2003. JOB PURPOSE: The Learning Variability Network Exchange (LEVANTE) is an open-source, online assessment platform that is designed to provide a framework for measuring developmental variability across cultures ( ). Our current goal is to develop and maintain this platform to help researchers assess children in their research and practice. This technology has the potential to dramatically change the landscape of research into learning variability by allowing researchers to rapidly collect data at an unprecedented scale. We are looking for an experienced, full-stack web developer to join our team and help build out this platform to scale to meet the needs of research groups around the world studying thousands of children. Source code for the project can be found here: Core to our team's mission are: International diversity: Develop technology that catalyzes research across many different countries and contexts.Transparency and open-access: Create technology that meets a critical need for research sites in diverse communities and can be used under an open-access, not-for-profit model. This is a 100% FTE, 1-year fixed-term exempt position with the possibility of renewal. This position can be either remote or based on the Stanford campus. Duties include:Design and implement the LEVANTE dashboard for researchers to manage web experiments for children.Design, implement, and deploy web experiments on the LEVANTE platform from initial design and architecture through development, test, and deployment. Work with experimental psychologists to refine both core functionality and look and feel of the researcher dashboard to maximize its utility for researchers. Contribute to internationalization of web experiments on the LEVANTE platform. Core Duties: Design, implement, and deploy web-based applications and websites from initial design and architecture through development, test, and deployment.Implement and maintain content management systems, including installation, configuration, troubleshooting, and creation of Stanford-specific modules.Evaluate third-party modules for functionality, accessibility, security, and maintainability.Perform selected website administration duties for existing clients. Ensure web server and site technical performance.Create web pages and tools for Stanford websites using core technologies. Create and/or modify clean, well-structured, search engine optimization-friendly documented code.Provide technical expertise in front- and back-end web development. Support web infrastructure by providing end-user support, applications maintenance, product evaluation, back-end development, and internal management tools.Interpret website design and layout visually in a creative, contemporary style and fully integrated manner. Ensure high quality and consistent look and feel across multiple devices and browsers.Optimize the display of original online content, and collaborate with content manager to produce animated gifs, static buttons, and email and landing pages.Work with site architects to develop and document functional specifications based on requirements gathered from stakeholders. Support the implementation of life-cycle.Help develop and deploy upgrade/migration plans for existing content management system as needed. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree and three years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities:Excellent communication and interpersonal skills.Strong skills with Javascript (ES5, ES6), HTML5 and CSS3.Familiarity with Vue.js (preferred), React, Angular, or a similar modern web development framework.Familiarity with Firebase services including Firestore, Authentication, and Hosting.Knowledge of modern development tools, like Git.Experience in consuming and designing RESTful APIs. Preferred QualificationsFamiliarity with experimental psychology or other behavioral research disciplines.At least 1+ years of experience in Vue.js with knowledge of components and the composition API.Ability to write efficient, secure, clean, and scalable JavaScript/TypeScript code.Please provide a link to a publicly accessible pull request on GitHub in which you contribute significantly to a web development project. Certifications and Licenses: None PHYSICAL REQUIREMENTS :Constantly perform desk-based computer tasks, grasp lightly/fine manipulation.Frequently sitting.Occasionally stand/walk, use a telephone.Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds. Strong visual acuity. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. This hybrid/ remote role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures . The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $84,645.00 to $111,554.00 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. WORK STANDARDS:Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall . click apply for full job details
01/14/2026
Full time
Web Developer 2 - Hybrid or Remote School of Humanities and Sciences, Stanford, California, United States NewInformation Technology Services 1 day ago Post Date 107996 Requisition # This position has been deemed critical by the School of Humanities & Sciences Dean's Office and is exempt from the hiring freeze. Web Developer 2 - Hybrid or Remote The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 23 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Among the first departments established at Stanford University, the Department of Psychology has a long-standing tradition of ground-breaking theoretical research that also has powerful impact in the real world. The department is ranked as one of the top psychology programs in the nation and has been a leading psychology department among American universities for decades. This extraordinary achievement was honored by the Smithsonian Institution in Washington D.C. in 2003. JOB PURPOSE: The Learning Variability Network Exchange (LEVANTE) is an open-source, online assessment platform that is designed to provide a framework for measuring developmental variability across cultures ( ). Our current goal is to develop and maintain this platform to help researchers assess children in their research and practice. This technology has the potential to dramatically change the landscape of research into learning variability by allowing researchers to rapidly collect data at an unprecedented scale. We are looking for an experienced, full-stack web developer to join our team and help build out this platform to scale to meet the needs of research groups around the world studying thousands of children. Source code for the project can be found here: Core to our team's mission are: International diversity: Develop technology that catalyzes research across many different countries and contexts.Transparency and open-access: Create technology that meets a critical need for research sites in diverse communities and can be used under an open-access, not-for-profit model. This is a 100% FTE, 1-year fixed-term exempt position with the possibility of renewal. This position can be either remote or based on the Stanford campus. Duties include:Design and implement the LEVANTE dashboard for researchers to manage web experiments for children.Design, implement, and deploy web experiments on the LEVANTE platform from initial design and architecture through development, test, and deployment. Work with experimental psychologists to refine both core functionality and look and feel of the researcher dashboard to maximize its utility for researchers. Contribute to internationalization of web experiments on the LEVANTE platform. Core Duties: Design, implement, and deploy web-based applications and websites from initial design and architecture through development, test, and deployment.Implement and maintain content management systems, including installation, configuration, troubleshooting, and creation of Stanford-specific modules.Evaluate third-party modules for functionality, accessibility, security, and maintainability.Perform selected website administration duties for existing clients. Ensure web server and site technical performance.Create web pages and tools for Stanford websites using core technologies. Create and/or modify clean, well-structured, search engine optimization-friendly documented code.Provide technical expertise in front- and back-end web development. Support web infrastructure by providing end-user support, applications maintenance, product evaluation, back-end development, and internal management tools.Interpret website design and layout visually in a creative, contemporary style and fully integrated manner. Ensure high quality and consistent look and feel across multiple devices and browsers.Optimize the display of original online content, and collaborate with content manager to produce animated gifs, static buttons, and email and landing pages.Work with site architects to develop and document functional specifications based on requirements gathered from stakeholders. Support the implementation of life-cycle.Help develop and deploy upgrade/migration plans for existing content management system as needed. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree and three years of relevant experience or a combination of education and relevant experience. Knowledge, Skills and Abilities:Excellent communication and interpersonal skills.Strong skills with Javascript (ES5, ES6), HTML5 and CSS3.Familiarity with Vue.js (preferred), React, Angular, or a similar modern web development framework.Familiarity with Firebase services including Firestore, Authentication, and Hosting.Knowledge of modern development tools, like Git.Experience in consuming and designing RESTful APIs. Preferred QualificationsFamiliarity with experimental psychology or other behavioral research disciplines.At least 1+ years of experience in Vue.js with knowledge of components and the composition API.Ability to write efficient, secure, clean, and scalable JavaScript/TypeScript code.Please provide a link to a publicly accessible pull request on GitHub in which you contribute significantly to a web development project. Certifications and Licenses: None PHYSICAL REQUIREMENTS :Constantly perform desk-based computer tasks, grasp lightly/fine manipulation.Frequently sitting.Occasionally stand/walk, use a telephone.Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds. Strong visual acuity. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. This hybrid/ remote role is open to candidates anywhere in the United States. Stanford University has five Regional Pay Structures . The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $84,645.00 to $111,554.00 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. WORK STANDARDS:Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall . click apply for full job details
Sr. Software Developer School of Medicine, Stanford, California, United States Information Technology Services Oct 29, 2025 Post Date 107317 Requisition # Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading the integration of large-scale biomedical data sources-such as radiology and pathology imaging, genomics, and electronic health records (EHR)-into Stanford's clinical data warehouse. The Sr. Software Developer will design, implement, and maintain both front-end and back-end solutions for healthcare applications, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR). Key responsibilities include applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position offers the opportunity to contribute to cutting-edge healthcare research while mentoring junior engineers and overseeing critical projects. Duties include: • Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications. • Contribute to all phases of a project, including systems analysis, program design, development, and implementation. Serve as project lead for some projects. • Oversee testing, debugging, change control, and documentation for major projects. • Lead and mentor professional staff, as necessary, working on all phases of application development projects. • Engage in long-term strategic planning.in collaboration with staff and project leadership. • Define complex application development administration and programming standards. • Oversee the support, maintenance, operation, upgrades of applications. • Troubleshoot and resolve complex technical problems. • Review the physical design of existing systems for optimizing performance. • Lead projects, as necessary, for special systems and application development in areas of complex problems. • Work with other technical professionals to develop standards and implement best practices. • Provide innovative programming and analysis. • May mentor junior software developers. - Other duties may also be assigned DESIRED QUALIFICATIONS: • BS in Software Engineering, Biostatistics, Bioinformatics or research-related program • Experience performing data analysis in research analyses and visualization work in a healthcare research or clinical setting • Fluency in SQL, Python and R • Strong knowledge of cloud platforms such as Google Cloud, Azure or AWS • Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes • Experience with CI/CD tools such as GitLab CI/CD or GitHub Actions • Solid programming skills and experience in scripting • Experience with data transformation and workflow tools such as dbt, Airflow or WDL • Strong knowledge of database architecture best practices • Strong interpersonal and communication skills to interact with technical and non-technical stakeholders • Excellent writing and analytical skills • Five years of experience collaborating as a computational biologist or biostatistician • Experience with common data models like OMOP, PCORnet or i2b2 • Experience with ontologies, terminologies, UMLS, or Semantic Web • Familiarity with Cloud computing paradigm • Experience with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases • Familiarity with LLMs, NLPs, ML, and other AI technologies EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Ability to quickly learn and adapt to new technologies and programming tools. • Demonstrated experience in designing, developing, testing, and deploying applications. • Strong understanding of data design, architecture, relational databases, and data modeling. • Thorough understanding of all aspects of software development life cycle and quality control practices. • Ability to define and solve logical problems for highly technical applications. • Strong communication skills with both technical and non-technical clients. • Demonstrated experience leading activities on structured team development projects. • Ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. PHYSICAL REQUIREMENTS : • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • May work extended hours, evening and weekends. • Travel on campus to schools/units. The expected pay range for this position is $169,728 to $194,585 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. WORK STANDARDS (from JDL) • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107317 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Sr. Software Developer School of Medicine, Stanford, California, United States Information Technology Services Oct 29, 2025 Post Date 107317 Requisition # Stanford University is seeking an experienced Sr. Software Developer with a strong passion for biomedical informatics and advancing healthcare through the power of AI. This role involves leading the integration of large-scale biomedical data sources-such as radiology and pathology imaging, genomics, and electronic health records (EHR)-into Stanford's clinical data warehouse. The Sr. Software Developer will design, implement, and maintain both front-end and back-end solutions for healthcare applications, ensuring data is Findable, Accessible, Interoperable, and Reusable (FAIR). Key responsibilities include applying AI tools like Natural Language Processing (NLP) and Machine Learning (ML), managing data security, troubleshooting complex technical problems, and collaborating with diverse teams. This position offers the opportunity to contribute to cutting-edge healthcare research while mentoring junior engineers and overseeing critical projects. Duties include: • Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications. • Contribute to all phases of a project, including systems analysis, program design, development, and implementation. Serve as project lead for some projects. • Oversee testing, debugging, change control, and documentation for major projects. • Lead and mentor professional staff, as necessary, working on all phases of application development projects. • Engage in long-term strategic planning.in collaboration with staff and project leadership. • Define complex application development administration and programming standards. • Oversee the support, maintenance, operation, upgrades of applications. • Troubleshoot and resolve complex technical problems. • Review the physical design of existing systems for optimizing performance. • Lead projects, as necessary, for special systems and application development in areas of complex problems. • Work with other technical professionals to develop standards and implement best practices. • Provide innovative programming and analysis. • May mentor junior software developers. - Other duties may also be assigned DESIRED QUALIFICATIONS: • BS in Software Engineering, Biostatistics, Bioinformatics or research-related program • Experience performing data analysis in research analyses and visualization work in a healthcare research or clinical setting • Fluency in SQL, Python and R • Strong knowledge of cloud platforms such as Google Cloud, Azure or AWS • Proficiency in containerization technologies such as Docker and container orchestration platforms like Kubernetes • Experience with CI/CD tools such as GitLab CI/CD or GitHub Actions • Solid programming skills and experience in scripting • Experience with data transformation and workflow tools such as dbt, Airflow or WDL • Strong knowledge of database architecture best practices • Strong interpersonal and communication skills to interact with technical and non-technical stakeholders • Excellent writing and analytical skills • Five years of experience collaborating as a computational biologist or biostatistician • Experience with common data models like OMOP, PCORnet or i2b2 • Experience with ontologies, terminologies, UMLS, or Semantic Web • Familiarity with Cloud computing paradigm • Experience with working in a medical school environment, and working with HIPAA PHI and other clinical EHR databases • Familiarity with LLMs, NLPs, ML, and other AI technologies EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Ability to quickly learn and adapt to new technologies and programming tools. • Demonstrated experience in designing, developing, testing, and deploying applications. • Strong understanding of data design, architecture, relational databases, and data modeling. • Thorough understanding of all aspects of software development life cycle and quality control practices. • Ability to define and solve logical problems for highly technical applications. • Strong communication skills with both technical and non-technical clients. • Demonstrated experience leading activities on structured team development projects. • Ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. PHYSICAL REQUIREMENTS : • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • May work extended hours, evening and weekends. • Travel on campus to schools/units. The expected pay range for this position is $169,728 to $194,585 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. WORK STANDARDS (from JDL) • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107317 Work Arrangement : Hybrid Eligible
Product Manager, Personal Finance for All Graduate School of Business, Stanford, California, United States Information Technology Services Oct 15, 2025 Post Date 107540 Requisition # This position is a 2-year fixed-term role. Stanford Graduate School of Business Stanford's Graduate School of Business (GSB) has built a global reputation based on its immersive and innovative management programs. We provide students a transformative leadership experience, pushing the boundaries of knowledge with faculty research, and offering a portfolio of entrepreneurial and non-degree programs that deliver global impact. We invite you to be part of our mission of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world. The Initiative for Financial Decision-Making (IFDM), a collaboration among the Stanford Graduate School of Business (GSB), the Stanford Institute for Economic Policy Research (SIEPR), and the Economics Department, is recruiting a Product Manager for its Personal Finance for All efforts based at the GSB in Stanford, CA. IFDM is spearheading the effort to improve people's financial well-being through financial literacy. IFDM's mission is to equip people, especially the young and underprivileged, with skills for making informed financial decisions based on sound academic research insights. Despite the growth of personal finance education, challenges remain. IFDM works to support high schools, universities, and employers by providing tools, programs, and research-based evidence to promote financial literacy on a large scale. Funded through a generous gift, IFDM has ambitious goals and seeks a mission-driven Product Manager to lead the development of new technological platforms to transform IFDM's financial literacy curriculum into engaging, interactive learning experiences. This role is ideal for someone who thrives in a startup-like environment within an academic ecosystem and has experience developing apps. You will lead the full lifecycle of high-impact educational products, such as an app, an online resource library, and a chatbot. Additionally, you will collaborate with Stanford faculty, researchers, engineers, designers, and students to transform the academic curriculum into digital tools that teach core personal finance skills. Financial literacy is more important than ever. This project presents an opportunity to build something that matters at scale. You will help shape a product that has the potential to transform financial literacy outcomes. Primary responsibilities of the Product Manager include: Lead the design and development of digital applications (web and mobile), ensuring products are user-friendly, scalable, and aligned with IFDM goals. Translate financial literacy curriculum into modular, interactive content within a seamless app experience and other digital tools. Conduct user research and usability testing to continuously iterate and improve learning outcomes. Ensure accessibility and engagement across mobile (iOS/Android) and web platforms. Analyze and use user data to inform decision-making and drive product iteration. Develop lifecycle strategies to ensure continuity in the face of changes in operating systems and technical advancements. Manage planning, timelines, metrics, and stakeholder communications. Ensure work completion within schedule, budgetary, and design constraints; make decisions about analysis, design, and testing. Solve complex technical problems; provide alternative methods for achieving goals when necessary. Provide strategic planning for own work group; may assist higher-level management in broader scope strategic planning for a significant, complex, university-wide function or major initiative. Create procedures and guidelines to ensure compliance with university policy and federal and state regulations. Develop and manage budgets for projects or work groups. Oversee or assist in the preparation and submission of documentation, such as proposals, progress reports, or other contractual requirements. Monitor technology trends and evaluate emerging technologies for adoption and implementation. Work collaboratively with colleagues to leverage the university/school's investments in information technology. Work directly with Stanford faculty, researchers, and instructional designers to ensure educational rigor and engagement. Additional Responsibilities Remain adaptable and willing to take on various tasks as needed to support the IFDM's goals. Provide direction and insights on IFDM technical projects as requested to ensure consistency in the functionality and branding. MINIMUM REQUIREMENTS Education and Experience Bachelor's degree and ten years of relevant experience or a combination of education and relevant experience. Knowledge, Skills, and Abilities: Proven experience managing the development of web or mobile applications, ideally in the education, fintech, or nonprofit space. Detailed understanding of relevant technical knowledge and problem resolution. Strong customer relationship skills, consensus-building skills, and ability to establish effective working relationships in a diverse environment. Demonstrated leadership and supervisory skills, including conflict resolution. Demonstrated ability to lead, motivate, and develop staff. A strong grasp of digital user behavior and product design principles. Demonstrated ability to manage complex projects and cross-functional collaboration. Experience working closely with designers, engineers, and subject matter experts. Ability to synthesize complex information into clear, engaging digital experiences across multiple platforms and for targeted audiences. Familiarity with agile development, product analytics tools, and design tools. Passion for financial literacy, education, and making knowledge accessible to myriad users of IFDM apps and materials. PHYSICAL REQUIREMENTS: Frequently stand/walk, sit, grasp lightly/fine manipulate, perform desk-based computer tasks. Occasionally, use a telephone, write by hand, and lift/carry/push/pull objects that weigh up to 40 pounds. Rarely sort/file paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds. Ability to use voice to present information/communicate with others. On-campus mobility. WORKING CONDITIONS: May work extended hours, evenings, or weekends. May travel domestically. Occasional overnight travel. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $152,010-$179,801 per annum. This position is campus-based with limited hybrid flexibility and requires on-site presence during events and special engagements. Stanford University provides pay ranges that represent its good-faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, the base pay represents only one aspect of the total comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specific details about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Stanford's dedicated 16,000 staff come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy and improve lives on a global sphere. We provide competitive salaries, excellent healthcare and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our generous perks align with what matters to you: Freedom to grow. Take advantage of career development programs, tuition reimbursement, or course audits. Join a TedTalk, or film screening, or listen to a renowned author or leader discuss global issues. A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care, and caregiving support. A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes. Discovery and fun . click apply for full job details
01/14/2026
Full time
Product Manager, Personal Finance for All Graduate School of Business, Stanford, California, United States Information Technology Services Oct 15, 2025 Post Date 107540 Requisition # This position is a 2-year fixed-term role. Stanford Graduate School of Business Stanford's Graduate School of Business (GSB) has built a global reputation based on its immersive and innovative management programs. We provide students a transformative leadership experience, pushing the boundaries of knowledge with faculty research, and offering a portfolio of entrepreneurial and non-degree programs that deliver global impact. We invite you to be part of our mission of developing innovative, principled, and insightful leaders who change lives, change organizations, and change the world. The Initiative for Financial Decision-Making (IFDM), a collaboration among the Stanford Graduate School of Business (GSB), the Stanford Institute for Economic Policy Research (SIEPR), and the Economics Department, is recruiting a Product Manager for its Personal Finance for All efforts based at the GSB in Stanford, CA. IFDM is spearheading the effort to improve people's financial well-being through financial literacy. IFDM's mission is to equip people, especially the young and underprivileged, with skills for making informed financial decisions based on sound academic research insights. Despite the growth of personal finance education, challenges remain. IFDM works to support high schools, universities, and employers by providing tools, programs, and research-based evidence to promote financial literacy on a large scale. Funded through a generous gift, IFDM has ambitious goals and seeks a mission-driven Product Manager to lead the development of new technological platforms to transform IFDM's financial literacy curriculum into engaging, interactive learning experiences. This role is ideal for someone who thrives in a startup-like environment within an academic ecosystem and has experience developing apps. You will lead the full lifecycle of high-impact educational products, such as an app, an online resource library, and a chatbot. Additionally, you will collaborate with Stanford faculty, researchers, engineers, designers, and students to transform the academic curriculum into digital tools that teach core personal finance skills. Financial literacy is more important than ever. This project presents an opportunity to build something that matters at scale. You will help shape a product that has the potential to transform financial literacy outcomes. Primary responsibilities of the Product Manager include: Lead the design and development of digital applications (web and mobile), ensuring products are user-friendly, scalable, and aligned with IFDM goals. Translate financial literacy curriculum into modular, interactive content within a seamless app experience and other digital tools. Conduct user research and usability testing to continuously iterate and improve learning outcomes. Ensure accessibility and engagement across mobile (iOS/Android) and web platforms. Analyze and use user data to inform decision-making and drive product iteration. Develop lifecycle strategies to ensure continuity in the face of changes in operating systems and technical advancements. Manage planning, timelines, metrics, and stakeholder communications. Ensure work completion within schedule, budgetary, and design constraints; make decisions about analysis, design, and testing. Solve complex technical problems; provide alternative methods for achieving goals when necessary. Provide strategic planning for own work group; may assist higher-level management in broader scope strategic planning for a significant, complex, university-wide function or major initiative. Create procedures and guidelines to ensure compliance with university policy and federal and state regulations. Develop and manage budgets for projects or work groups. Oversee or assist in the preparation and submission of documentation, such as proposals, progress reports, or other contractual requirements. Monitor technology trends and evaluate emerging technologies for adoption and implementation. Work collaboratively with colleagues to leverage the university/school's investments in information technology. Work directly with Stanford faculty, researchers, and instructional designers to ensure educational rigor and engagement. Additional Responsibilities Remain adaptable and willing to take on various tasks as needed to support the IFDM's goals. Provide direction and insights on IFDM technical projects as requested to ensure consistency in the functionality and branding. MINIMUM REQUIREMENTS Education and Experience Bachelor's degree and ten years of relevant experience or a combination of education and relevant experience. Knowledge, Skills, and Abilities: Proven experience managing the development of web or mobile applications, ideally in the education, fintech, or nonprofit space. Detailed understanding of relevant technical knowledge and problem resolution. Strong customer relationship skills, consensus-building skills, and ability to establish effective working relationships in a diverse environment. Demonstrated leadership and supervisory skills, including conflict resolution. Demonstrated ability to lead, motivate, and develop staff. A strong grasp of digital user behavior and product design principles. Demonstrated ability to manage complex projects and cross-functional collaboration. Experience working closely with designers, engineers, and subject matter experts. Ability to synthesize complex information into clear, engaging digital experiences across multiple platforms and for targeted audiences. Familiarity with agile development, product analytics tools, and design tools. Passion for financial literacy, education, and making knowledge accessible to myriad users of IFDM apps and materials. PHYSICAL REQUIREMENTS: Frequently stand/walk, sit, grasp lightly/fine manipulate, perform desk-based computer tasks. Occasionally, use a telephone, write by hand, and lift/carry/push/pull objects that weigh up to 40 pounds. Rarely sort/file paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds. Ability to use voice to present information/communicate with others. On-campus mobility. WORKING CONDITIONS: May work extended hours, evenings, or weekends. May travel domestically. Occasional overnight travel. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $152,010-$179,801 per annum. This position is campus-based with limited hybrid flexibility and requires on-site presence during events and special engagements. Stanford University provides pay ranges that represent its good-faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, the base pay represents only one aspect of the total comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specific details about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Stanford's dedicated 16,000 staff come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy and improve lives on a global sphere. We provide competitive salaries, excellent healthcare and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our generous perks align with what matters to you: Freedom to grow. Take advantage of career development programs, tuition reimbursement, or course audits. Join a TedTalk, or film screening, or listen to a renowned author or leader discuss global issues. A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care, and caregiving support. A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes. Discovery and fun . click apply for full job details
Neuromuscular Research Data Analyst School of Medicine, Stanford, California, United States Information Analytics Nov 12, 2025 Post Date 107725 Requisition # Do you want to help Stanford University find better ways to measure strength, function and health for individuals with Neuromuscular Disease including Muscular Dystrophies, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, Inherited Neuropathies, and other conditions? If you Enjoy working directly with patients and their families in clinic and at research visits. Are excited to work with people affected by neuromuscular disorders. Are excited to work with clinicians, scientists, engineers and research associates. Are exceptionally organized and can balance multiple projects at one time. Have excellent time management and can meet deadlines. Work well in a dynamic team utilizing novel technologies to integrate knowledge and answer research questions. Enjoy learning new skills. Enjoy translating data to address research gaps. Then we offer The opportunity to work in a collaborative team of neuromuscular investigators. The chance to contribute to describing and understanding the impact of treatments in neuromuscular disorders. Exciting and positive environment where you will always learn new things. Teamwork and camaraderie. Competitive full time salary. Excellent Stanford benefits. The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA), with clinical data management experience to utilize knowledge from research tools to conduct and analyze research data assuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management. The division is eager to determine novel approaches towards quantifying movement through wearable and video technology and develop novel methods of analyzing MRI data to better characterize disease health for individuals with neuromuscular disease. As disease modifying treatments become available in neuromuscular diseases, we are researching novel approaches to better quantify movement and complement current clinical practice working alongside other professionals in radiology, cardiovascular health, and engineering. This position focuses on clinical data management and primarily focuses on supporting the labs clinical data collection systems. One would expect to be using REDCap database design and form creation regularly while also aligning with administrative and research data governance politics. A successful candidate would serve as the primary data manager for multiple clinical research studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis. Learning SQL or having experience with Google Cloud would be preferred. Projects involve working with both pediatric and adults with neuromuscular diseases in both a lab and clinical environment. There are opportunities for long-term growth within the team with the ability to gain critical skillsets for a career in biomedical sciences. These studies will be conducted at the Stanford University Medical Center. Interested candidates should include a CV and Cover Letter addressing how your education and experience relates to the position described above. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Collaborate with faculty and research staff on data collection and analysis methods. Communicate with government officials, grant agencies and industry representatives. Design, develop, and maintain REDCap databases. Data Compliance. - Other duties may also be assigned. DESIRED QUALIFICATIONS: 1-2 years experience in acquiring and/or processing data signals that requires a high level of technical skill and attention to detail. Proficiency with basic programming and scripts (for example, using R, python, MATLAB, SQL). Strong general computer skills and ability to quickly learn and master computer programs. Experience in data science with applied statistics, visual and communicating data. Proficiency with Microsoft Office, Word, Excel and various industry-oriented electronic data capture programs. Experience with database, data management, REDCAP, IRB requirements and the Stanford clinical research environment highly desirable. Ability to work both independently and as part of a diverse multidisciplinary team in a collaborative manner. Ability to determine workload priorities in an appropriate way to accomplish tasks and goals, meet deadlines. Takes initiative with good problem solving skills to anticipate and solve problems. Experience working with patients in a clinic or research setting. Strong analytical skill. Good oral and written communication skills to effectively work and publish data with clinicians and researchers. Excellent organizational skills and attention to detail in maintaining accurate, retrievable records. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Understanding of HIPAA, and GCP guidelines. Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Ability to prioritize workload; efficient utilization of time management. PHYSICAL REQUIREMENTS : Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more. Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. Occasional evening and weekend hours. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility . click apply for full job details
01/14/2026
Full time
Neuromuscular Research Data Analyst School of Medicine, Stanford, California, United States Information Analytics Nov 12, 2025 Post Date 107725 Requisition # Do you want to help Stanford University find better ways to measure strength, function and health for individuals with Neuromuscular Disease including Muscular Dystrophies, Spinal Muscular Atrophy, Amyotrophic Lateral Sclerosis, Inherited Neuropathies, and other conditions? If you Enjoy working directly with patients and their families in clinic and at research visits. Are excited to work with people affected by neuromuscular disorders. Are excited to work with clinicians, scientists, engineers and research associates. Are exceptionally organized and can balance multiple projects at one time. Have excellent time management and can meet deadlines. Work well in a dynamic team utilizing novel technologies to integrate knowledge and answer research questions. Enjoy learning new skills. Enjoy translating data to address research gaps. Then we offer The opportunity to work in a collaborative team of neuromuscular investigators. The chance to contribute to describing and understanding the impact of treatments in neuromuscular disorders. Exciting and positive environment where you will always learn new things. Teamwork and camaraderie. Competitive full time salary. Excellent Stanford benefits. The Neuromuscular Division of Neurology is seeking a Research Data Analyst (RDA), with clinical data management experience to utilize knowledge from research tools to conduct and analyze research data assuring efficiency and regulatory compliance; collect, compile and perform statistical analysis, data reports and management. The division is eager to determine novel approaches towards quantifying movement through wearable and video technology and develop novel methods of analyzing MRI data to better characterize disease health for individuals with neuromuscular disease. As disease modifying treatments become available in neuromuscular diseases, we are researching novel approaches to better quantify movement and complement current clinical practice working alongside other professionals in radiology, cardiovascular health, and engineering. This position focuses on clinical data management and primarily focuses on supporting the labs clinical data collection systems. One would expect to be using REDCap database design and form creation regularly while also aligning with administrative and research data governance politics. A successful candidate would serve as the primary data manager for multiple clinical research studies, ensuring data integrity, regulatory compliance, and efficient data flow from collection through analysis. Learning SQL or having experience with Google Cloud would be preferred. Projects involve working with both pediatric and adults with neuromuscular diseases in both a lab and clinical environment. There are opportunities for long-term growth within the team with the ability to gain critical skillsets for a career in biomedical sciences. These studies will be conducted at the Stanford University Medical Center. Interested candidates should include a CV and Cover Letter addressing how your education and experience relates to the position described above. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Collaborate with faculty and research staff on data collection and analysis methods. Communicate with government officials, grant agencies and industry representatives. Design, develop, and maintain REDCap databases. Data Compliance. - Other duties may also be assigned. DESIRED QUALIFICATIONS: 1-2 years experience in acquiring and/or processing data signals that requires a high level of technical skill and attention to detail. Proficiency with basic programming and scripts (for example, using R, python, MATLAB, SQL). Strong general computer skills and ability to quickly learn and master computer programs. Experience in data science with applied statistics, visual and communicating data. Proficiency with Microsoft Office, Word, Excel and various industry-oriented electronic data capture programs. Experience with database, data management, REDCAP, IRB requirements and the Stanford clinical research environment highly desirable. Ability to work both independently and as part of a diverse multidisciplinary team in a collaborative manner. Ability to determine workload priorities in an appropriate way to accomplish tasks and goals, meet deadlines. Takes initiative with good problem solving skills to anticipate and solve problems. Experience working with patients in a clinic or research setting. Strong analytical skill. Good oral and written communication skills to effectively work and publish data with clinicians and researchers. Excellent organizational skills and attention to detail in maintaining accurate, retrievable records. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Understanding of HIPAA, and GCP guidelines. Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Ability to prioritize workload; efficient utilization of time management. PHYSICAL REQUIREMENTS : Frequently stand, walk, twist, bend, stoop, squat and use fine light/fine grasping. Occasionally sit, reach above shoulders, perform desk based computer tasks, use a telephone and write by hand, lift, carry, push, and pull objects that weigh up to 40 pounds. Rarely kneel, crawl, climb ladders, grasp forcefully, sort and file paperwork or parts, rarely lift, carry, push, and pull objects that weigh 40 pounds or more. Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. Occasional evening and weekend hours. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility . click apply for full job details
Financial Billing & Systems Analyst Land, Buildings and Real Estate, Redwood City, California, United States NewInformation Technology Services 6 days ago Post Date 107975 Requisition # Job Summary LBRE is seeking a detail-oriented and technically skilled Financial Billing & Systems Analyst to serve as a critical link between our financial operations and technology teams. In this hybrid role, you will take ownership of the end-to-end monthly billing process, ensuring timeliness and accuracy, while also acting as a subject matter expert for our financial systems. You will leverage your expertise in Oracle Ebusiness Suite/Enterprise Asset Management System to resolve discrepancies, develop insightful reports, and drive system enhancements. The ideal candidate is a proactive problem-solver and a strong communicator who is passionate about data integrity, process improvement, and transforming data into actionable business strategy. Job Purpose To serve as the critical liaison between financial operations and technology, ensuring the integrity of the end-to-end billing cycle while developing reporting solutions that drive data accuracy and enable strategic decision-making. Core Responsibilities Financial & Billing Operations Oversee and manage the end-to-end monthly billing process for LBRE shops (Oracle eAM), Event Services, and Fuel, ensuring accuracy, timeliness, and data integrity. Proactively identify, investigate, and resolve billing discrepancies and errors to maintain financial accuracy. Perform regular reconciliation of the accounts, analyzing root causes and clearing outstanding items in a timely manner. Serve as the primary financial liaison for internal shops and external customers, providing exceptional support for billing inquiries, disputes, and correction requests. Business Intelligence, Reporting, & Systems Act as a Subject Matter Expert (SME) on finance business processes, playing a critical role in system implementations, upgrades, and enhancements. Perform testing of new systems, upgrades and patching of existing systems; plan, conduct and document results of testing. Lead the full lifecycle of reporting requests, from requirements gathering to the design, development, and delivery of routine and ad-hoc reports using Oracle Business Intelligence (OBI/OBIEE) and Incorta. Collaborate with technology partners to develop new reporting capabilities; rigorously test all new reports to ensure data integrity and proper functionality before deployment. Manage user access and provide training for the OBIEE platform, serving as the departmental liaison for financial reporting. In coordination with technology partners, manage and track all system performance issues, data integrity flags, and enhancement requests using Jira, ensuring timely resolution. Process Improvement & Project Support Identify, develop, and implement projects that streamline financial processes and improve operational efficiency. Assist with the establishment, maintenance, and continuous improvement of billing processes and procedures; recommend and document changes to enhance departmental efficiency. Cross-train on other financial month-end processes to provide backup support as needed. Perform other duties as assigned. Qualifications Minimum Qualifications Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Extensive experience with enterprise applications and a strong understanding of database-driven applications (e.g., Oracle). Proven ability to design and document complex business systems and workflows. Strong understanding of the software development life cycle (SDLC) and principles of systems analysis. Excellent analytical and problem-solving skills with the ability to approach problems logically and systematically. Demonstrated ability to build strong, collaborative relationships across functional areas. Excellent communication skills (written, verbal, and presentation), with the ability to bridge functional and technical resources and communicate effectively with individuals of varying expertise. Strong listening, negotiation, and conflict resolution skills. Preferred Qualifications Direct experience with Oracle Business Intelligence (OBI/OBIEE), Incorta, and Oracle eAM. Experience using Jira or similar tools for tracking system enhancements and issues. Practical knowledge of accounting principles and end-to-end billing cycles. Experience developing and delivering training to end-users on technical platforms. Demonstrated ability to manage projects, facilitate group meetings, and conduct stakeholder interviews. Physical Requirements & Working Conditions Constantly perform desk-based computer tasks. Frequently sit and perform fine manipulation. Occasionally stand, walk, and use a telephone. Work is typically performed in a hybrid or office environment. The expected pay range for this position is $156,505 to $165,000 per annum / hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanfords extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4773 Employee Status: Regular Grade: K Requisition ID: 107975 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Financial Billing & Systems Analyst Land, Buildings and Real Estate, Redwood City, California, United States NewInformation Technology Services 6 days ago Post Date 107975 Requisition # Job Summary LBRE is seeking a detail-oriented and technically skilled Financial Billing & Systems Analyst to serve as a critical link between our financial operations and technology teams. In this hybrid role, you will take ownership of the end-to-end monthly billing process, ensuring timeliness and accuracy, while also acting as a subject matter expert for our financial systems. You will leverage your expertise in Oracle Ebusiness Suite/Enterprise Asset Management System to resolve discrepancies, develop insightful reports, and drive system enhancements. The ideal candidate is a proactive problem-solver and a strong communicator who is passionate about data integrity, process improvement, and transforming data into actionable business strategy. Job Purpose To serve as the critical liaison between financial operations and technology, ensuring the integrity of the end-to-end billing cycle while developing reporting solutions that drive data accuracy and enable strategic decision-making. Core Responsibilities Financial & Billing Operations Oversee and manage the end-to-end monthly billing process for LBRE shops (Oracle eAM), Event Services, and Fuel, ensuring accuracy, timeliness, and data integrity. Proactively identify, investigate, and resolve billing discrepancies and errors to maintain financial accuracy. Perform regular reconciliation of the accounts, analyzing root causes and clearing outstanding items in a timely manner. Serve as the primary financial liaison for internal shops and external customers, providing exceptional support for billing inquiries, disputes, and correction requests. Business Intelligence, Reporting, & Systems Act as a Subject Matter Expert (SME) on finance business processes, playing a critical role in system implementations, upgrades, and enhancements. Perform testing of new systems, upgrades and patching of existing systems; plan, conduct and document results of testing. Lead the full lifecycle of reporting requests, from requirements gathering to the design, development, and delivery of routine and ad-hoc reports using Oracle Business Intelligence (OBI/OBIEE) and Incorta. Collaborate with technology partners to develop new reporting capabilities; rigorously test all new reports to ensure data integrity and proper functionality before deployment. Manage user access and provide training for the OBIEE platform, serving as the departmental liaison for financial reporting. In coordination with technology partners, manage and track all system performance issues, data integrity flags, and enhancement requests using Jira, ensuring timely resolution. Process Improvement & Project Support Identify, develop, and implement projects that streamline financial processes and improve operational efficiency. Assist with the establishment, maintenance, and continuous improvement of billing processes and procedures; recommend and document changes to enhance departmental efficiency. Cross-train on other financial month-end processes to provide backup support as needed. Perform other duties as assigned. Qualifications Minimum Qualifications Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Extensive experience with enterprise applications and a strong understanding of database-driven applications (e.g., Oracle). Proven ability to design and document complex business systems and workflows. Strong understanding of the software development life cycle (SDLC) and principles of systems analysis. Excellent analytical and problem-solving skills with the ability to approach problems logically and systematically. Demonstrated ability to build strong, collaborative relationships across functional areas. Excellent communication skills (written, verbal, and presentation), with the ability to bridge functional and technical resources and communicate effectively with individuals of varying expertise. Strong listening, negotiation, and conflict resolution skills. Preferred Qualifications Direct experience with Oracle Business Intelligence (OBI/OBIEE), Incorta, and Oracle eAM. Experience using Jira or similar tools for tracking system enhancements and issues. Practical knowledge of accounting principles and end-to-end billing cycles. Experience developing and delivering training to end-users on technical platforms. Demonstrated ability to manage projects, facilitate group meetings, and conduct stakeholder interviews. Physical Requirements & Working Conditions Constantly perform desk-based computer tasks. Frequently sit and perform fine manipulation. Occasionally stand, walk, and use a telephone. Work is typically performed in a hybrid or office environment. The expected pay range for this position is $156,505 to $165,000 per annum / hour. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanfords extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4773 Employee Status: Regular Grade: K Requisition ID: 107975 Work Arrangement : Hybrid Eligible
Mobile Infrastructure Technical Manager - IT Business Affairs: University IT (UIT), Stanford, California, United States Information Technology Services Nov 14, 2025 Post Date 107737 Requisition # Work Location : Stanford Historical Campus Work Schedule : Hybrid (must be able to work at least 2-3 days per week on-site) University IT (UIT), part of the Business Affairs organization at Stanford University, is dedicated to delivering world-class service and technology solutions to advance research, teaching, learning, administration, and healthcare. Stanford University is expanding its offering of Mobile Infrastructure services. We are seeking a highly skilled and experienced Technical Manager to join our team and take ownership of the mobile infrastructure engineering and operations. This role will primarily focus on leading Mobile Infrastructure team, engineering and maintaining mobile technology, ensuring excellent client support, and managing vendor relationships. The ideal candidate should have a strong background in mobile network technologies, such as indoor and outdoor Distributed Antenna Systems (DAS), and public and private cellular networks. Responsibilities: Technology: Develop and execute strategies for the mobile network connectivity and private 5G service offerings. Monitor and ensure the overall performance, availability, and reliability of the service. Identify areas for improvement and implement measures to enhance service quality and efficiency. Monitor the Mobile Connectivity Service Now Incident and Request queues for tickets and follow up with staff on status and remove obstacles that may be preventing prompt resolution of incidents. Review all change requests to adhere to the UIT Change Management processes, and ensure relevant stakeholder, partner teams and user community concerns have been addressed. Track and report the performance of operations by collecting and monitoring metrics and ensuring that performance aligns with defined business targets or SLAs. Observe trends that could inform opportunities for process improvement. Collaborate with cross-functional teams to troubleshoot and resolve service-related issues. Ensure established incident and escalation processes are being followed in a timely manner to resolve issues per SLAs. Client Support: Serve as the primary point of escalation for clients regarding mobile network connectivity and private 5G services. Understand client requirements, address their concerns, and provide solutions to meet their needs. Provide technical guidance and assistance to clients in optimizing their mobile network connectivity and private 5G solutions. Proactively identify opportunities to upsell or cross-sell services based on client requirements and industry trends. Vendor Management: Identify and evaluate potential vendors and suppliers for mobile network connectivity and private 5G services. Collaborate with IT Vendor Management team to negotiate contracts and agreements, ensuring favorable terms and conditions. Build and maintain strong relationships with vendors, monitoring their performance and adherence to service level agreements (SLAs). Collaborate with vendors to resolve service-related issues and escalate concerns as necessary. Team Management: Lead a team of engineers, technicians and support staff, providing guidance, coaching, and performance feedback. Foster a positive work environment that encourages teamwork, collaboration, and continuous learning. Develop and implement training programs to enhance the skills and knowledge of the service team. Technology Planning: Conduct market research and analysis to stay informed about industry trends and competitors' pricing strategies. Continuously innovate and expand the mobile infrastructure service offerings to meet evolving client needs and market demands. Conduct feasibility studies and cost-benefit analyses to assess the viability and profitability of new service ideas. Collaborate with cross-functional teams, including product development, engineering, and operations, to design and develop new services. Define service specifications, features, and deliverables, ensuring they align with client expectations and business objectives. Strong project management skills, including the ability to prioritize tasks and meet deadlines. Creative mindset and ability to think outside the box to create innovative service offerings Job Qualifications: Bachelor's degree in a relevant field (e.g., Telecommunications, Electrical Engineering, Computer Science) and eight years of experience, or a combination of education and equivalent practical experience. Proven experience in managing mobile network connectivity services, including indoor and outdoor DAS. Knowledge of mobile network technologies, protocols, and standards (e.g., 4G, 5G, LTE). Familiarity with indoor and outdoor Distributed Antenna Systems (DAS) deployment and optimization. Understanding of private 5G network architecture, implementation, and management. Excellent problem-solving and troubleshooting skills in the context of mobile network connectivity and private 5G services. Solid understanding of vendor management and contract negotiation processes. Strong leadership and team management abilities. Exceptional communication and interpersonal skills. Ability to work effectively in a fast-paced and dynamic environment. Work Standards When conducting university business, must comply with the California Vehicle Code and Stanford University driving requirements. Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Certifications and Licenses Required: Must possess and maintain a valid California non-commercial Class C Driver's License. Physical Requirements: Ability to drive day or night. The expected pay range for this position is $159,963 to $191,459 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. We are not able to provide relocation for this position. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4813 Employee Status: Regular Grade: K Requisition ID: 107737 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Mobile Infrastructure Technical Manager - IT Business Affairs: University IT (UIT), Stanford, California, United States Information Technology Services Nov 14, 2025 Post Date 107737 Requisition # Work Location : Stanford Historical Campus Work Schedule : Hybrid (must be able to work at least 2-3 days per week on-site) University IT (UIT), part of the Business Affairs organization at Stanford University, is dedicated to delivering world-class service and technology solutions to advance research, teaching, learning, administration, and healthcare. Stanford University is expanding its offering of Mobile Infrastructure services. We are seeking a highly skilled and experienced Technical Manager to join our team and take ownership of the mobile infrastructure engineering and operations. This role will primarily focus on leading Mobile Infrastructure team, engineering and maintaining mobile technology, ensuring excellent client support, and managing vendor relationships. The ideal candidate should have a strong background in mobile network technologies, such as indoor and outdoor Distributed Antenna Systems (DAS), and public and private cellular networks. Responsibilities: Technology: Develop and execute strategies for the mobile network connectivity and private 5G service offerings. Monitor and ensure the overall performance, availability, and reliability of the service. Identify areas for improvement and implement measures to enhance service quality and efficiency. Monitor the Mobile Connectivity Service Now Incident and Request queues for tickets and follow up with staff on status and remove obstacles that may be preventing prompt resolution of incidents. Review all change requests to adhere to the UIT Change Management processes, and ensure relevant stakeholder, partner teams and user community concerns have been addressed. Track and report the performance of operations by collecting and monitoring metrics and ensuring that performance aligns with defined business targets or SLAs. Observe trends that could inform opportunities for process improvement. Collaborate with cross-functional teams to troubleshoot and resolve service-related issues. Ensure established incident and escalation processes are being followed in a timely manner to resolve issues per SLAs. Client Support: Serve as the primary point of escalation for clients regarding mobile network connectivity and private 5G services. Understand client requirements, address their concerns, and provide solutions to meet their needs. Provide technical guidance and assistance to clients in optimizing their mobile network connectivity and private 5G solutions. Proactively identify opportunities to upsell or cross-sell services based on client requirements and industry trends. Vendor Management: Identify and evaluate potential vendors and suppliers for mobile network connectivity and private 5G services. Collaborate with IT Vendor Management team to negotiate contracts and agreements, ensuring favorable terms and conditions. Build and maintain strong relationships with vendors, monitoring their performance and adherence to service level agreements (SLAs). Collaborate with vendors to resolve service-related issues and escalate concerns as necessary. Team Management: Lead a team of engineers, technicians and support staff, providing guidance, coaching, and performance feedback. Foster a positive work environment that encourages teamwork, collaboration, and continuous learning. Develop and implement training programs to enhance the skills and knowledge of the service team. Technology Planning: Conduct market research and analysis to stay informed about industry trends and competitors' pricing strategies. Continuously innovate and expand the mobile infrastructure service offerings to meet evolving client needs and market demands. Conduct feasibility studies and cost-benefit analyses to assess the viability and profitability of new service ideas. Collaborate with cross-functional teams, including product development, engineering, and operations, to design and develop new services. Define service specifications, features, and deliverables, ensuring they align with client expectations and business objectives. Strong project management skills, including the ability to prioritize tasks and meet deadlines. Creative mindset and ability to think outside the box to create innovative service offerings Job Qualifications: Bachelor's degree in a relevant field (e.g., Telecommunications, Electrical Engineering, Computer Science) and eight years of experience, or a combination of education and equivalent practical experience. Proven experience in managing mobile network connectivity services, including indoor and outdoor DAS. Knowledge of mobile network technologies, protocols, and standards (e.g., 4G, 5G, LTE). Familiarity with indoor and outdoor Distributed Antenna Systems (DAS) deployment and optimization. Understanding of private 5G network architecture, implementation, and management. Excellent problem-solving and troubleshooting skills in the context of mobile network connectivity and private 5G services. Solid understanding of vendor management and contract negotiation processes. Strong leadership and team management abilities. Exceptional communication and interpersonal skills. Ability to work effectively in a fast-paced and dynamic environment. Work Standards When conducting university business, must comply with the California Vehicle Code and Stanford University driving requirements. Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Certifications and Licenses Required: Must possess and maintain a valid California non-commercial Class C Driver's License. Physical Requirements: Ability to drive day or night. The expected pay range for this position is $159,963 to $191,459 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. We are not able to provide relocation for this position. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4813 Employee Status: Regular Grade: K Requisition ID: 107737 Work Arrangement : Hybrid Eligible
EOP Research Data Analyst 2 Graduate School of Education, Stanford, California, United States Information Analytics Oct 17, 2025 Post Date 107573 Requisition # The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice and policy. Our community includes over 60 faculty, 400 students, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact. The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Data Analyst 2. The EOP is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. This position will support new work developing and analyzing a novel database of kindergarten readiness assessment data. Note: This position is a 1-year fixed term appointment based on Stanford University's main campus. Consideration will be given to a hybrid work schedule (partially onsite and offsite work). Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. WHAT YOU'LL DO:The Research Data Analyst 2 will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role.CORE DUTIES: Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness.Identify potentially problematic data, make corrections, and eliminate root cause of data problems.Build replicable and efficient software code for data cleaning and estimation.Design and customize reports based upon data in the database.Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.Serve as a resource for non-routine inquiries such as requests for statistics.Create documentation for all code. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: Substantial experience with MS Office and analytical programs, including Stata.Excellent writing and analytical skills.Ability to prioritize workload. Certifications and Licenses: None DESIRED QUALIFICATIONS: Master's or doctoral degree preferred.3+ years experience in Stata statistical programming preferred.3+ years experience supporting quantitative social science research projects preferred.Experience managing and analyzing large datasets preferred.Experience developing efficient code architectures preferred.Familiarity with advanced statistical methods (e.g., hierarchical linear modeling) a plus.Experience working with K-12 or postsecondary education data a plus. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less.Occasionally write by hand, twist, bend, stoop and squat.Rarely stand, walk, reach, or work above shoulders and use a telephone.Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.A caring culture. We provide superb retirement plans, generous time-off, and family care resources.A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.Discovery and fun. Stroll through historic sculptures, trails, and museums.Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4752 Employee Status: Fixed-Term Grade: I Requisition ID: 107573 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
EOP Research Data Analyst 2 Graduate School of Education, Stanford, California, United States Information Analytics Oct 17, 2025 Post Date 107573 Requisition # The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The GSE is a top-ranked school of education, known for its prestigious faculty, rigorous graduate degree programs, and its impact on the quality of education across the world. The GSE is committed to developing leaders in education research, practice and policy. Our community includes over 60 faculty, 400 students, 230 staff, 14,000 alumni and countless individuals from the local and global communities that we work with and impact. The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Data Analyst 2. The EOP is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. This position will support new work developing and analyzing a novel database of kindergarten readiness assessment data. Note: This position is a 1-year fixed term appointment based on Stanford University's main campus. Consideration will be given to a hybrid work schedule (partially onsite and offsite work). Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. WHAT YOU'LL DO:The Research Data Analyst 2 will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role.CORE DUTIES: Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness.Identify potentially problematic data, make corrections, and eliminate root cause of data problems.Build replicable and efficient software code for data cleaning and estimation.Design and customize reports based upon data in the database.Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.Serve as a resource for non-routine inquiries such as requests for statistics.Create documentation for all code. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: Substantial experience with MS Office and analytical programs, including Stata.Excellent writing and analytical skills.Ability to prioritize workload. Certifications and Licenses: None DESIRED QUALIFICATIONS: Master's or doctoral degree preferred.3+ years experience in Stata statistical programming preferred.3+ years experience supporting quantitative social science research projects preferred.Experience managing and analyzing large datasets preferred.Experience developing efficient code architectures preferred.Familiarity with advanced statistical methods (e.g., hierarchical linear modeling) a plus.Experience working with K-12 or postsecondary education data a plus. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less.Occasionally write by hand, twist, bend, stoop and squat.Rarely stand, walk, reach, or work above shoulders and use a telephone.Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.A caring culture. We provide superb retirement plans, generous time-off, and family care resources.A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.Discovery and fun. Stroll through historic sculptures, trails, and museums.Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4752 Employee Status: Fixed-Term Grade: I Requisition ID: 107573 Work Arrangement : Hybrid Eligible
Middle East & South Asia Metadata Specialist University Libraries, Stanford, California, United States NewLibrary 2 hours ago Post Date 107991 Requisition # Stanford Libraries is seeking a full-time Middle East and South Asia Metadata Specialist to join the Metadata Services. The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant.We seek a team member who is ready to share their skills and perspectives. About Stanford Libraries: Stanford Libraries is a network of over 15 libraries with over 400 employees. We are committed to fueling the teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships. We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint. We are constantly trying to strike the right pace, and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena. We are invested in the success of our teams and the individuals who represent Stanford Libraries. About Metadata Services: Metadata Services creates, enhances, remediates, and transforms descriptive and discovery metadata in multiple schemas to provide discovery and access to library resources in SearchWorks (our Blacklight implementation) and the Stanford Digital Repository, through the integrated work of four units: Metadata Creation, Metadata Design, E-resources Control and Data Control. The Metadata Creation Unit is charged with providing high quality cataloging (original & copy) and authority creation for incoming print materials, audio-visual resources & individual e-resources. Language specialists also provide metadata for materials in Special Collections. About the Position: The Middle East & South Asia Metadata Specialist will perform copy cataloging and minimal-level cataloging for incoming materials and bulk collections in Arabic-script languages (including Persian, Urdu, and Pashto), as well as other South Asian and/or European languages and scripts based on skill set and departmental needs. Responsibilities include reviewing and analyzing records in bibliographic utilities, performing copy cataloging, assigning Library of Congress classification using established Library of Congress Subject Headings, and creating minimal-level cataloging in designated areas. The specialist will also perform targeted metadata remediation for Middle East & South Asian materials. This role requires strong language skills in the relevant languages and the ability to carry out a variety of complex tasks with minimal supervision and a high degree of initiative. Core Duties : Perform copy cataloging, enhanced copy cataloging or abbreviated/minimal cataloging for items in Middle Eastern & South Asian languages in Arabic script, primarily Arabic, Persian, Urdu, and Pashto, and Hindi, according to local policies and procedures. Includes entering metadata in Arabic script and adding transliteration (romanization) according to ALA/LC romanization standards. Other languages may be assigned according to department needs. Correct complex errors in bibliographic, holdings and item records in FOLIO (Stanford's library service platform) to enhance discoverability of library resources. Create brief inventory records in FOLIO according to local guidelines and procedures Determine subject content of books in different languages and assign Library of Congress call number and subject keywords. Identify duplicate items, duplicate records, added volumes and other situations that require further attention. Perform targeted metadata remediation for Arabic-script resources. - Other duties may also be assigned The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS Education and Experience: Two-year college degree plus three or more years of experience in an academic library, or equivalent combination of education and relevant experience. Minimum Knowledge, Skills and Abilities: Proficiency in reading Arabic, Persian, Urdu & Pashto; ability to process materials in a wide variety of other South Asian and/or European languages and subjects preferred Knowledge of, or ability to learn, romanization of Arabic script according to ALA/LC romanization rules Ability to effectively search bibliographic utilities (e.g., OCLC) for Arabic script materials Knowledge of, or ability to learn, catalog records and MARC21 formats, and to effectively search bibliographic utilities Ability to follow and apply local & national guidelines for abbreviated and minimal level cataloging, including determining basic subject matter and inputting appropriate subject keywords and/or genre terms Ability to learn the assignment of call numbers based on instructions in Classification Web, and shelflist against the local catalog Demonstrated computer literacy using word processing, spreadsheets, email, and ability to learn to use internal communications applications (e.g., Slack) Experience using one or more library automated systems; proficiency in FOLIO (Stanford's ILS) preferred Excellent analytic and problem-solving skills Ability to communicate effectively in English, both orally and in writing Ability to work independently and as a team member Ability to work effectively in a dynamic, production-oriented environment and the ability to adapt quickly and work under pressure to meet deadlines and production goals Demonstrated ability to maintain consistent accuracy and attention to detail while maintaining a high level of productivity Good keyboarding skills and physical tolerance for at least six hours of keying per day Record of excellent attendance Physical Requirements: Ability to push a cart weighing up to 650 lbs. that requires an initial push force up to 70 lbs. Ability to work in an environment that is dusty and or moldy Ability to lift books that are up to 10 pounds Ability to kneel and reach Must be able to stand for many hours - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions: May work in confined spaces and at heights 4-10 feet; be exposed to dust and mold; work extended hours, evenings and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law The expected pay range for this position is $30.66 - $38.27 per hour. Stanford University provides pay ranges representing its good faith estimate of the hourly wage the university reasonably expects to pay for a position upon hire . The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy . click apply for full job details
01/14/2026
Full time
Middle East & South Asia Metadata Specialist University Libraries, Stanford, California, United States NewLibrary 2 hours ago Post Date 107991 Requisition # Stanford Libraries is seeking a full-time Middle East and South Asia Metadata Specialist to join the Metadata Services. The Libraries values are rooted in a commitment of mutual respect, the idea that every member of the staff has something to contribute, and that learning is constant.We seek a team member who is ready to share their skills and perspectives. About Stanford Libraries: Stanford Libraries is a network of over 15 libraries with over 400 employees. We are committed to fueling the teaching, learning and research across Stanford by acquiring, stewarding, and making available a robust collection, currently in excess of 12 million items. Everyone in the organization plays a vital role in fulfilling that objective. Our dedication to discoverability and information management also has us engaged in dynamic global partnerships. We are constantly building and strengthening our organization, and we recognize striving for excellence is a marathon and not a sprint. We are constantly trying to strike the right pace, and admit there are times when we find ourselves at a fast jog. While we hope to always find candidates who fit within our organization, what we truly seek is someone who will add to our culture, our profession as well as the greater academic arena. We are invested in the success of our teams and the individuals who represent Stanford Libraries. About Metadata Services: Metadata Services creates, enhances, remediates, and transforms descriptive and discovery metadata in multiple schemas to provide discovery and access to library resources in SearchWorks (our Blacklight implementation) and the Stanford Digital Repository, through the integrated work of four units: Metadata Creation, Metadata Design, E-resources Control and Data Control. The Metadata Creation Unit is charged with providing high quality cataloging (original & copy) and authority creation for incoming print materials, audio-visual resources & individual e-resources. Language specialists also provide metadata for materials in Special Collections. About the Position: The Middle East & South Asia Metadata Specialist will perform copy cataloging and minimal-level cataloging for incoming materials and bulk collections in Arabic-script languages (including Persian, Urdu, and Pashto), as well as other South Asian and/or European languages and scripts based on skill set and departmental needs. Responsibilities include reviewing and analyzing records in bibliographic utilities, performing copy cataloging, assigning Library of Congress classification using established Library of Congress Subject Headings, and creating minimal-level cataloging in designated areas. The specialist will also perform targeted metadata remediation for Middle East & South Asian materials. This role requires strong language skills in the relevant languages and the ability to carry out a variety of complex tasks with minimal supervision and a high degree of initiative. Core Duties : Perform copy cataloging, enhanced copy cataloging or abbreviated/minimal cataloging for items in Middle Eastern & South Asian languages in Arabic script, primarily Arabic, Persian, Urdu, and Pashto, and Hindi, according to local policies and procedures. Includes entering metadata in Arabic script and adding transliteration (romanization) according to ALA/LC romanization standards. Other languages may be assigned according to department needs. Correct complex errors in bibliographic, holdings and item records in FOLIO (Stanford's library service platform) to enhance discoverability of library resources. Create brief inventory records in FOLIO according to local guidelines and procedures Determine subject content of books in different languages and assign Library of Congress call number and subject keywords. Identify duplicate items, duplicate records, added volumes and other situations that require further attention. Perform targeted metadata remediation for Arabic-script resources. - Other duties may also be assigned The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS Education and Experience: Two-year college degree plus three or more years of experience in an academic library, or equivalent combination of education and relevant experience. Minimum Knowledge, Skills and Abilities: Proficiency in reading Arabic, Persian, Urdu & Pashto; ability to process materials in a wide variety of other South Asian and/or European languages and subjects preferred Knowledge of, or ability to learn, romanization of Arabic script according to ALA/LC romanization rules Ability to effectively search bibliographic utilities (e.g., OCLC) for Arabic script materials Knowledge of, or ability to learn, catalog records and MARC21 formats, and to effectively search bibliographic utilities Ability to follow and apply local & national guidelines for abbreviated and minimal level cataloging, including determining basic subject matter and inputting appropriate subject keywords and/or genre terms Ability to learn the assignment of call numbers based on instructions in Classification Web, and shelflist against the local catalog Demonstrated computer literacy using word processing, spreadsheets, email, and ability to learn to use internal communications applications (e.g., Slack) Experience using one or more library automated systems; proficiency in FOLIO (Stanford's ILS) preferred Excellent analytic and problem-solving skills Ability to communicate effectively in English, both orally and in writing Ability to work independently and as a team member Ability to work effectively in a dynamic, production-oriented environment and the ability to adapt quickly and work under pressure to meet deadlines and production goals Demonstrated ability to maintain consistent accuracy and attention to detail while maintaining a high level of productivity Good keyboarding skills and physical tolerance for at least six hours of keying per day Record of excellent attendance Physical Requirements: Ability to push a cart weighing up to 650 lbs. that requires an initial push force up to 70 lbs. Ability to work in an environment that is dusty and or moldy Ability to lift books that are up to 10 pounds Ability to kneel and reach Must be able to stand for many hours - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions: May work in confined spaces and at heights 4-10 feet; be exposed to dust and mold; work extended hours, evenings and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law The expected pay range for this position is $30.66 - $38.27 per hour. Stanford University provides pay ranges representing its good faith estimate of the hourly wage the university reasonably expects to pay for a position upon hire . The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. Why Stanford is for You: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy . click apply for full job details
Research Data Analyst 1 School of Medicine, Stanford, California, United States Information Analytics Nov 20, 2025 Post Date 107775 Requisition # The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data for clinical projects on autonomic disorders. We are seeking a Research Data Analyst who will work with the team under the guidance of supervisors to organize and maintain a database of autonomic dysfunction in small fiber neuropathies, Long-COVID/PASC, hypersomnia, and aid in the preprocessing and analysis of other physiological and patient-reported data collected in the Autonomic Discords Program. The candidate will work in closely with the investigators in the division to implement and execute analysis pipelines for data collected within the division as well as with collaborators in other divisions and departments. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with faculty and research staff on data collection and analysis methods. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C++ (STL), Frameworks and Libraries:, Pandas, NumPy, PyTorch. Computer vision and machine learning (e.g., image segmentation, clustering, and classification models). Familiarity with REDCap, Excel-based data capture, and research documentation. Ability to multi-task various projects with different timelines. Ability to collaborate with senior investigators. Relevant background in Neuroscience, Neurology, Cognitive Science, Psychology or related field. Strong communication of analytical findings to both clinical and research teams. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative Neuroscience, Neurology, Cognitive Science, Psychology or related field executing data analysis. Master's degree preferred. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs such as Python, R, SQL, C++ (STL). Strong writing and analytical skills. Ability to prioritize workload. High level of self-motivation and ability to work independently. Resourcefulness, careful attention to detail, and strong organizational skills. High tolerance for ambiguity, demonstrated flexibility, and a willingness to accept new responsibilities. PHYSICAL REQUIREMENTS : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Requisition ID: 107775 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Research Data Analyst 1 School of Medicine, Stanford, California, United States Information Analytics Nov 20, 2025 Post Date 107775 Requisition # The Stanford Autonomic Disorders Program in the Department of Neurology & Neurological Sciences, is seeking to hire a Research Data Analyst 1 to manage and analyze large amount of physiological data for clinical projects on autonomic disorders. We are seeking a Research Data Analyst who will work with the team under the guidance of supervisors to organize and maintain a database of autonomic dysfunction in small fiber neuropathies, Long-COVID/PASC, hypersomnia, and aid in the preprocessing and analysis of other physiological and patient-reported data collected in the Autonomic Discords Program. The candidate will work in closely with the investigators in the division to implement and execute analysis pipelines for data collected within the division as well as with collaborators in other divisions and departments. Duties include : Collect, manage and clean datasets. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with faculty and research staff on data collection and analysis methods. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred. Experience using machine learning algorithms in Prism, MATLAB, and Python. Skilled in R, SQL, C++ (STL), Frameworks and Libraries:, Pandas, NumPy, PyTorch. Computer vision and machine learning (e.g., image segmentation, clustering, and classification models). Familiarity with REDCap, Excel-based data capture, and research documentation. Ability to multi-task various projects with different timelines. Ability to collaborate with senior investigators. Relevant background in Neuroscience, Neurology, Cognitive Science, Psychology or related field. Strong communication of analytical findings to both clinical and research teams. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative Neuroscience, Neurology, Cognitive Science, Psychology or related field executing data analysis. Master's degree preferred. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs such as Python, R, SQL, C++ (STL). Strong writing and analytical skills. Ability to prioritize workload. High level of self-motivation and ability to work independently. Resourcefulness, careful attention to detail, and strong organizational skills. High tolerance for ambiguity, demonstrated flexibility, and a willingness to accept new responsibilities. PHYSICAL REQUIREMENTS : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Requisition ID: 107775 Work Arrangement : Hybrid Eligible
Water Systems Operations Manager Land, Buildings and Real Estate, Stanford, California, United States Facilities Nov 17, 2025 Post Date 107746 Requisition #Welcome to Land, Buildings & Real Estate Land, Buildings & Real Estate (LBRE) is the operational core of Stanford University's physical campus. LBRE constructs and maintains the Stanford campus, where advancements across the academic spectrum are made possible. Our work is founded upon the collective value of dedication, innovation, expertise, teamwork, and continuous improvement. We are committed to serving the university's academic mission, as well as preserving and enhancing Stanford's 8,180 acres, and pride ourselves on supporting the teaching and research of the university as "Caretakers of a LEGACY." Department Introduction: The Water Resources and Civil Infrastructure group manages and maintains Stanford's civil infrastructure: water, sewer and storm drainage systems, in conjunction with an extensive water efficiency and stewardship program, which focuses on sustainable water use by managing available resources to meet University needs and preserving ecological systems to maintain these vital resources for future generations. Job Purpose The Water Systems Operations Manager is a first-line supervisory position responsible for overseeing the water systems operation on Stanford University's campus. This role involves planning and directing the activities of the water operations team, which includes nine full-time bargaining unit technicians, as well as contracted crew personnel and contractors. The supervisor ensures the efficient operation and maintenance of the university's sanitary sewer, storm drain, and water distribution systems, while adhering to regulatory compliance and supporting sustainability initiatives. Essential Functions: Team Management: Lead, motivate, and mentor team members, in close collaboration with the lead technician, to ensure effective operational performance. Responsible for managing the recruiting process in alignment with the university policies and procedures. Oversee employee scheduling, work assignments, and daily communications for technicians and technical staff. Review and approve timecards, manage staff schedules, and process time-off requests. Support personnel development by providing regular feedback and guidance. Evaluate employee performance and conduct annual performance reviews. Oversee contracted crew personnel and contractors. System Operations: Operate and maintain sanitary sewer, storm drain, water supply & distribution systems, and related facilities; the water systems include domestic/fire, recycled and non-potable ("Lake") water systems. Ensure compliance with Stanford's water rights and California State Water Resources Control Board regulations. o Execute operation & maintenance activities as directed by Energy Operations on the thermal energy water systems: low temperature hot water and chilled water. Operate and maintain all major system components such as reservoirs, pump stations, dams, diversion facilities, fish ladders, metering stations, pressure regulators, and SCADA systems. Preventive Maintenance and Inspections: Program and conduct all preventive maintenance, exercising, sampling, and flushing operations of all water systems. Routinely inspect all system components, including manholes, cleanouts, inlets, lift stations, and stormwater treatment components. Maintain an appropriate inventory of replacement equipment and parts. Emergency Response: o Respond to emergencies and system problems, prioritizing actions to mitigate issues. o Coordinate shutdowns for new connections and monitor system controls. o Oversee the operation of sewer cleaning equipment for training purposes. Planning and Coordination: Facilitate, schedule, and oversee all new connections to the water systems. Troubleshoot and manage SCADA problems and upgrades. Update design standards and system maps. Assist with construction inspection activities and review plans for new connections and system expansions. Budget and Resource Management: Collaborate with the director to prepare and manage the annual budget for the water operations team and system. Approve purchases and manage the inventory of equipment and supplies. Customer Service: Provide operational response to customer inquiries and complaints regarding water quality, pressure, taste, odor, leaks, and blockages. Coordinate with and notify customers in advance of needed water operational service interruptions. May perform other duties as needed. Qualifications Education and Experience: Associate or bachelor's degree in engineering or a related technical field preferred; or an equivalent combination of relevant technical education, training, and experience. Minimum of 10 years' experience in water systems operations, including at least 5 years in a supervisory or management role overseeing and leading technicians. Prior experience working within the guidelines of a Collective Bargaining Agreement. Proven track record of effectively leading water operations crews and managing service contracts. Demonstrated experience in the development and management of budgets and programs. Hands-on experience with underground piping systems construction required. Certificates & Licenses: California DODW Grade 3 Water Distribution Operator certification (D3) required. California DODW Grade 3 Water Treatment Operator certification (T3) highly desirable. AWWA Cross Connection Control certification required. AWWA Backflow Prevention Assembly Tester certification required, with demonstrated knowledge of assembly testing and maintenance. Technical Skills & Knowledge: Strong technical expertise across all system components outlined above. Familiarity with CAL/OSHA environmental and safety regulations, including the ability to conduct job site inspections to ensure compliance. Proficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint), Adobe Acrobat, Zoom, VPN, and SCADA systems. Ability to interpret planning specifications, working drawings, and related technical reports. Communication & Interpersonal Skills: Outstanding verbal and written communication skills in English. Exceptional interpersonal skills, with a calm and professional demeanor. Demonstrated ability to work collaboratively and communicate effectively across departments, agencies, contractors, and with service customers. Proven ability to deliver excellent customer service, especially when addressing customers affected by system problems or service interruptions. Responsive, assertive, and cooperative, with a commitment to maintaining high standards of professionalism and teamwork. Physical Requirements : Frequently sitting, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, twist/bend/stoop/squat, grasp lightly/fine manipulation, use a telephone, lift/carry/push/pull objects that weigh up to 11-20 pounds. Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, grasp forcefully, writing by hand, sort/file paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds. Must be willing and able to wear personal protective equipment (e.g., hard hat, gloves, apron, safety shoes, safety glasses, and hearing protection) Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . WORKING CONDITIONS: Requires 24-hour response availability seven days per week for emergency situations through possible inclement weather to address water, sewer, or drainage system problems and emergencies. May be exposed to noise > 80dB TWA. May work at heights 4 - 10 ft. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $151,297 to $171,103 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location . click apply for full job details
01/14/2026
Full time
Water Systems Operations Manager Land, Buildings and Real Estate, Stanford, California, United States Facilities Nov 17, 2025 Post Date 107746 Requisition #Welcome to Land, Buildings & Real Estate Land, Buildings & Real Estate (LBRE) is the operational core of Stanford University's physical campus. LBRE constructs and maintains the Stanford campus, where advancements across the academic spectrum are made possible. Our work is founded upon the collective value of dedication, innovation, expertise, teamwork, and continuous improvement. We are committed to serving the university's academic mission, as well as preserving and enhancing Stanford's 8,180 acres, and pride ourselves on supporting the teaching and research of the university as "Caretakers of a LEGACY." Department Introduction: The Water Resources and Civil Infrastructure group manages and maintains Stanford's civil infrastructure: water, sewer and storm drainage systems, in conjunction with an extensive water efficiency and stewardship program, which focuses on sustainable water use by managing available resources to meet University needs and preserving ecological systems to maintain these vital resources for future generations. Job Purpose The Water Systems Operations Manager is a first-line supervisory position responsible for overseeing the water systems operation on Stanford University's campus. This role involves planning and directing the activities of the water operations team, which includes nine full-time bargaining unit technicians, as well as contracted crew personnel and contractors. The supervisor ensures the efficient operation and maintenance of the university's sanitary sewer, storm drain, and water distribution systems, while adhering to regulatory compliance and supporting sustainability initiatives. Essential Functions: Team Management: Lead, motivate, and mentor team members, in close collaboration with the lead technician, to ensure effective operational performance. Responsible for managing the recruiting process in alignment with the university policies and procedures. Oversee employee scheduling, work assignments, and daily communications for technicians and technical staff. Review and approve timecards, manage staff schedules, and process time-off requests. Support personnel development by providing regular feedback and guidance. Evaluate employee performance and conduct annual performance reviews. Oversee contracted crew personnel and contractors. System Operations: Operate and maintain sanitary sewer, storm drain, water supply & distribution systems, and related facilities; the water systems include domestic/fire, recycled and non-potable ("Lake") water systems. Ensure compliance with Stanford's water rights and California State Water Resources Control Board regulations. o Execute operation & maintenance activities as directed by Energy Operations on the thermal energy water systems: low temperature hot water and chilled water. Operate and maintain all major system components such as reservoirs, pump stations, dams, diversion facilities, fish ladders, metering stations, pressure regulators, and SCADA systems. Preventive Maintenance and Inspections: Program and conduct all preventive maintenance, exercising, sampling, and flushing operations of all water systems. Routinely inspect all system components, including manholes, cleanouts, inlets, lift stations, and stormwater treatment components. Maintain an appropriate inventory of replacement equipment and parts. Emergency Response: o Respond to emergencies and system problems, prioritizing actions to mitigate issues. o Coordinate shutdowns for new connections and monitor system controls. o Oversee the operation of sewer cleaning equipment for training purposes. Planning and Coordination: Facilitate, schedule, and oversee all new connections to the water systems. Troubleshoot and manage SCADA problems and upgrades. Update design standards and system maps. Assist with construction inspection activities and review plans for new connections and system expansions. Budget and Resource Management: Collaborate with the director to prepare and manage the annual budget for the water operations team and system. Approve purchases and manage the inventory of equipment and supplies. Customer Service: Provide operational response to customer inquiries and complaints regarding water quality, pressure, taste, odor, leaks, and blockages. Coordinate with and notify customers in advance of needed water operational service interruptions. May perform other duties as needed. Qualifications Education and Experience: Associate or bachelor's degree in engineering or a related technical field preferred; or an equivalent combination of relevant technical education, training, and experience. Minimum of 10 years' experience in water systems operations, including at least 5 years in a supervisory or management role overseeing and leading technicians. Prior experience working within the guidelines of a Collective Bargaining Agreement. Proven track record of effectively leading water operations crews and managing service contracts. Demonstrated experience in the development and management of budgets and programs. Hands-on experience with underground piping systems construction required. Certificates & Licenses: California DODW Grade 3 Water Distribution Operator certification (D3) required. California DODW Grade 3 Water Treatment Operator certification (T3) highly desirable. AWWA Cross Connection Control certification required. AWWA Backflow Prevention Assembly Tester certification required, with demonstrated knowledge of assembly testing and maintenance. Technical Skills & Knowledge: Strong technical expertise across all system components outlined above. Familiarity with CAL/OSHA environmental and safety regulations, including the ability to conduct job site inspections to ensure compliance. Proficiency in Microsoft Office Suite (Outlook, Word, Excel, PowerPoint), Adobe Acrobat, Zoom, VPN, and SCADA systems. Ability to interpret planning specifications, working drawings, and related technical reports. Communication & Interpersonal Skills: Outstanding verbal and written communication skills in English. Exceptional interpersonal skills, with a calm and professional demeanor. Demonstrated ability to work collaboratively and communicate effectively across departments, agencies, contractors, and with service customers. Proven ability to deliver excellent customer service, especially when addressing customers affected by system problems or service interruptions. Responsive, assertive, and cooperative, with a commitment to maintaining high standards of professionalism and teamwork. Physical Requirements : Frequently sitting, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, twist/bend/stoop/squat, grasp lightly/fine manipulation, use a telephone, lift/carry/push/pull objects that weigh up to 11-20 pounds. Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, grasp forcefully, writing by hand, sort/file paperwork or parts, lift/carry/push/pull objects that weigh >40 pounds. Must be willing and able to wear personal protective equipment (e.g., hard hat, gloves, apron, safety shoes, safety glasses, and hearing protection) Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . WORKING CONDITIONS: Requires 24-hour response availability seven days per week for emergency situations through possible inclement weather to address water, sewer, or drainage system problems and emergencies. May be exposed to noise > 80dB TWA. May work at heights 4 - 10 ft. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $151,297 to $171,103 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location . click apply for full job details
Biomedical Cloud Engineer School of Medicine, Stanford, California, United States Information Technology Services Aug 08, 2025 Post Date 107025 Requisition Stanford Center for Genomics and Personalized Medicine (SCGPM) has an exciting opportunity available for a motivated Biomedical Cloud Engineer to create innovative data architectures that will automate the process of turning big genomic data into biomedical insights. The ideal person for this position is a keen listener who can interpret biological questions, assess the value and relevance of different technologies and methods, and deliver actionable technical solutions. Background: The Department of Veterans Affairs (VA) has commissioned the sequencing of hundreds of thousands of whole genomes from participants in the Million Veteran Program (MVP) . This data is currently being delivered to the SCGPM's cloud computing environment and constitutes one of the largest repositories of whole-genome sequencing data in the world. The scale and richness of this data make it an incredible resource for biomedical research. Our goal is to turn this data lake into a data commons: a dynamic computing environment where researchers bring questions and get answers, all without having to go through the ordeal of manually collecting, cleaning, massaging, scrubbing, sorting, transforming, and filtering data. As an example of a publication from this group, see this reference describing the early design of our data processing system: Ross, P.B., Song, J., Tsao, P.S. et al. Trellis for efficient data and task management in the VA Million Veteran Program. Scientific Reports 11, 23229 (2021). Position: In this position, you would be the system developer of the cloud-based MVP data management system that we have created called Trellis. Trellis stores the petabytes of sequence data contributed to the MVP by veterans and orchestrates its processing while keeping track of what programs were used, maintaining a detailed record of data provenance. To manage the enormous volumes of biomedical research data that the MVP generates, we have built Trellis in the Google Cloud Platform. The Trellis architecture takes advantage of many serverless cloud services, such as Cloud Functions, Dataproc, Cloud SQL, and Pub/Sub, to make a workflow which responds to the arrival of new data by initiating pipeline processes automatically and at scale. A production version of Trellis has already processed the whole genomic sequences of over 150,000 veterans and we plan to process at least as many more in the coming year. You would take the lead in keeping this production system running and optimized, and you would interface with our SecOps team which maintains that system in a FedRAMP-secure environment. Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds, each contributing their own expertise in managing and analyzing complex biomedical data . Other projects supported by this team include the NCI Human Tumor Atlas Network, Human BioMolecular Atlas Program, and the Stanford Metabolic Health Center. This position can be on-site in Palo Alto, fully remote, or hybrid. Duties include: Maintaining the smooth execution of our production Trellis systemWorking with our Security Operations team to respond to any security incidentsConstructing queries to our graph database to gain insights from pipeline run dataImplementing population-level genomic analyses (GWAS, PCA) to verify data integrityDesigning and integrating novel bioinformatics pipelines into our Trellis systemTroubleshooting data flow in our state-driven Trellis architectureBuilding containers for bioinformatics tools and integrating them with our internal data management system to automate workflowsCollaborating with researchers to explore solutions to relevant biological questions and maximize the value of our whole-genome sequencing dataset to the public - Other duties may also be assigned. DESIRED QUALIFICATIONS: Four-year degree in Genetics, Computer Science, Bioinformatics, Computational Physics, or a related fieldExperience with biomedical data formats (FASTQ, FASTA, BAM, CRAM, Hail MatrixTable, et al.)Comfortable in programming with PythonExperience with cloud computing, especially Google CloudExperience with databases, especially graph databasesExperience with big data technologies (e.g., BigQuery, Spark, Hail, Terra)Familiarity with issues in computer data securityFamiliarity with FedRAMP cloud securityFamiliarity with FAIR principles of data managementExcellent verbal and written communication skillsAn ability to independently grasp the objectives of research projects and assemble solutions from a range of technologies, standards, and approachesA desire to learn new methods and technologies and to adapt to demands of fast-paced research EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Expertise in designing, developing, testing, and deploying applications.Proficiency with application design and data modeling.Ability to define and solve logical problems for highly technical applications.Strong communication skills with both technical and non-technical clients.Ability to lead activities on structured team development projects.Ability to select, adapt, and effectively use a variety of programming methods.Knowledge of application domain. CERTIFICATIONS & LICENSES:None PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, grasp lightly/fine manipulation.Occasionally stand/walk, writing by hand.Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS:May work extended hours, evening and weekends. WORK STANDARDS (from JDL): Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information Schedule: Full-time Job Code: 4822 Employee Status: Regular Grade: J Requisition ID: 107025 Work Arrangement : On Site
01/14/2026
Full time
Biomedical Cloud Engineer School of Medicine, Stanford, California, United States Information Technology Services Aug 08, 2025 Post Date 107025 Requisition Stanford Center for Genomics and Personalized Medicine (SCGPM) has an exciting opportunity available for a motivated Biomedical Cloud Engineer to create innovative data architectures that will automate the process of turning big genomic data into biomedical insights. The ideal person for this position is a keen listener who can interpret biological questions, assess the value and relevance of different technologies and methods, and deliver actionable technical solutions. Background: The Department of Veterans Affairs (VA) has commissioned the sequencing of hundreds of thousands of whole genomes from participants in the Million Veteran Program (MVP) . This data is currently being delivered to the SCGPM's cloud computing environment and constitutes one of the largest repositories of whole-genome sequencing data in the world. The scale and richness of this data make it an incredible resource for biomedical research. Our goal is to turn this data lake into a data commons: a dynamic computing environment where researchers bring questions and get answers, all without having to go through the ordeal of manually collecting, cleaning, massaging, scrubbing, sorting, transforming, and filtering data. As an example of a publication from this group, see this reference describing the early design of our data processing system: Ross, P.B., Song, J., Tsao, P.S. et al. Trellis for efficient data and task management in the VA Million Veteran Program. Scientific Reports 11, 23229 (2021). Position: In this position, you would be the system developer of the cloud-based MVP data management system that we have created called Trellis. Trellis stores the petabytes of sequence data contributed to the MVP by veterans and orchestrates its processing while keeping track of what programs were used, maintaining a detailed record of data provenance. To manage the enormous volumes of biomedical research data that the MVP generates, we have built Trellis in the Google Cloud Platform. The Trellis architecture takes advantage of many serverless cloud services, such as Cloud Functions, Dataproc, Cloud SQL, and Pub/Sub, to make a workflow which responds to the arrival of new data by initiating pipeline processes automatically and at scale. A production version of Trellis has already processed the whole genomic sequences of over 150,000 veterans and we plan to process at least as many more in the coming year. You would take the lead in keeping this production system running and optimized, and you would interface with our SecOps team which maintains that system in a FedRAMP-secure environment. Our Team: Our SCGPM bioinformatics team is a multi-disciplinary group composed of about a dozen scientists, engineers, and software developers with complementary backgrounds, each contributing their own expertise in managing and analyzing complex biomedical data . Other projects supported by this team include the NCI Human Tumor Atlas Network, Human BioMolecular Atlas Program, and the Stanford Metabolic Health Center. This position can be on-site in Palo Alto, fully remote, or hybrid. Duties include: Maintaining the smooth execution of our production Trellis systemWorking with our Security Operations team to respond to any security incidentsConstructing queries to our graph database to gain insights from pipeline run dataImplementing population-level genomic analyses (GWAS, PCA) to verify data integrityDesigning and integrating novel bioinformatics pipelines into our Trellis systemTroubleshooting data flow in our state-driven Trellis architectureBuilding containers for bioinformatics tools and integrating them with our internal data management system to automate workflowsCollaborating with researchers to explore solutions to relevant biological questions and maximize the value of our whole-genome sequencing dataset to the public - Other duties may also be assigned. DESIRED QUALIFICATIONS: Four-year degree in Genetics, Computer Science, Bioinformatics, Computational Physics, or a related fieldExperience with biomedical data formats (FASTQ, FASTA, BAM, CRAM, Hail MatrixTable, et al.)Comfortable in programming with PythonExperience with cloud computing, especially Google CloudExperience with databases, especially graph databasesExperience with big data technologies (e.g., BigQuery, Spark, Hail, Terra)Familiarity with issues in computer data securityFamiliarity with FedRAMP cloud securityFamiliarity with FAIR principles of data managementExcellent verbal and written communication skillsAn ability to independently grasp the objectives of research projects and assemble solutions from a range of technologies, standards, and approachesA desire to learn new methods and technologies and to adapt to demands of fast-paced research EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Expertise in designing, developing, testing, and deploying applications.Proficiency with application design and data modeling.Ability to define and solve logical problems for highly technical applications.Strong communication skills with both technical and non-technical clients.Ability to lead activities on structured team development projects.Ability to select, adapt, and effectively use a variety of programming methods.Knowledge of application domain. CERTIFICATIONS & LICENSES:None PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, grasp lightly/fine manipulation.Occasionally stand/walk, writing by hand.Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS:May work extended hours, evening and weekends. WORK STANDARDS (from JDL): Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information Schedule: Full-time Job Code: 4822 Employee Status: Regular Grade: J Requisition ID: 107025 Work Arrangement : On Site
Data Analyst 1 - Hybrid Opportunity School of Humanities and Sciences, Stanford, California, United States Information Analytics Nov 06, 2025 Post Date 107534 Requisition # This position has been deemed critical by the School of Humanities and Sciences Dean's Office and is exempt from the hiring freeze. The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department/Program Description: Big Local News, situated in the journalism program in the Department of Communication at Stanford, allows journalists - whether freelancers, reporters from one company or collaborators across multiple news organizations - to share data and work together as they report out stories. Our work is designed to be journalist-driven and transformative, to help find solutions for local newsrooms' ability to produce accountability journalism and create impact. The Stanford Journalism program's mission is to serve the public's need for facts in a just, self-governed society. We develop tools to make it easier to discover important stories and lower the cost of accountability journalism through better use of data and algorithms. We aim to be pioneers in the field of computational journalism, partnering with media and technology companies and with faculty and students from the social sciences and engineering. Position Summary: The Department of Communication is seeking a Data Analyst 1. The Data Analyst 1 will work under general supervision of the director of Big Local News within the department and conduct data collection, analysis and training in service of Big Local News' mission of supporting local journalism and partnering where applicable with researchers on data analyses for that purpose. This is a 95% FTE, 2-year fixed-term exempt position. This position will be based on the Stanford campus and will be considered for an option of telecommuting (hybrid of working on-site and off-site), subject to operational need. If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences. CORE DUTIES: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity. Research and reconcile data discrepancies occurring among various information systems and reports. Collaborate with data managers to define and implement data standards and common data elements for data collection. Identify new sources of data and methods to improve data collection, analysis and reporting. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Lead the implementation of data standards and common data elements for data collection. Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics. Other duties may also be assigned. EDUCATION AND EXPERIENCE: Bachelor's degree and one year of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS, AND ABILITIES: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external customers. WORKING CONDITIONS: Constantly perform desk-based computer tasks. Frequently stand/walk, sit, use a telephone, and grasp lightly/fine manipulation. Occasionally grasp forcefully, writing by hand. Rarely sort/file paperwork; lift/carry/push/pull objects that weigh up to 10 pounds. The expected pay range for this position is $80,148.00 to $99,773.00 per annum. The actual pay will be prorated based on the 95% FTE. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Part-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 107534 Work Arrangement : Hybrid Eligible, On Site
01/14/2026
Full time
Data Analyst 1 - Hybrid Opportunity School of Humanities and Sciences, Stanford, California, United States Information Analytics Nov 06, 2025 Post Date 107534 Requisition # This position has been deemed critical by the School of Humanities and Sciences Dean's Office and is exempt from the hiring freeze. The School of Humanities and Sciences (H&S) is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 25 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. Department/Program Description: Big Local News, situated in the journalism program in the Department of Communication at Stanford, allows journalists - whether freelancers, reporters from one company or collaborators across multiple news organizations - to share data and work together as they report out stories. Our work is designed to be journalist-driven and transformative, to help find solutions for local newsrooms' ability to produce accountability journalism and create impact. The Stanford Journalism program's mission is to serve the public's need for facts in a just, self-governed society. We develop tools to make it easier to discover important stories and lower the cost of accountability journalism through better use of data and algorithms. We aim to be pioneers in the field of computational journalism, partnering with media and technology companies and with faculty and students from the social sciences and engineering. Position Summary: The Department of Communication is seeking a Data Analyst 1. The Data Analyst 1 will work under general supervision of the director of Big Local News within the department and conduct data collection, analysis and training in service of Big Local News' mission of supporting local journalism and partnering where applicable with researchers on data analyses for that purpose. This is a 95% FTE, 2-year fixed-term exempt position. This position will be based on the Stanford campus and will be considered for an option of telecommuting (hybrid of working on-site and off-site), subject to operational need. If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences. CORE DUTIES: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity. Research and reconcile data discrepancies occurring among various information systems and reports. Collaborate with data managers to define and implement data standards and common data elements for data collection. Identify new sources of data and methods to improve data collection, analysis and reporting. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Lead the implementation of data standards and common data elements for data collection. Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics. Other duties may also be assigned. EDUCATION AND EXPERIENCE: Bachelor's degree and one year of experience or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS, AND ABILITIES: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external customers. WORKING CONDITIONS: Constantly perform desk-based computer tasks. Frequently stand/walk, sit, use a telephone, and grasp lightly/fine manipulation. Occasionally grasp forcefully, writing by hand. Rarely sort/file paperwork; lift/carry/push/pull objects that weigh up to 10 pounds. The expected pay range for this position is $80,148.00 to $99,773.00 per annum. The actual pay will be prorated based on the 95% FTE. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Part-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 107534 Work Arrangement : Hybrid Eligible, On Site
Learning Experience Designer, External Education Doerr School of Sustainability, Stanford, California, United States NewHuman Resources 4 days ago Post Date 107982 Requisition # This position has been deemed critical by the Stanford Doerr School of Sustainability Dean's Office and is exempt from the hiring pause. This position is based on Stanford's main campus with consideration given to the option for a hybrid work schedule (partially onsite and offsite), subject to operational need. Interested candidates must include a resume and cover letter to be considered for this position. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa. About Us The Stanford Doerr School of Sustainability strives to create a future when humans and nature thrive in concert and in perpetuity. The school is made up of a three-part structure to drive global impact: Our academic departments and programs educate students and create new knowledge across areas of research that are crucial for advancing the long-term prosperity of the planet and people; Institutes bridge scholarship at Stanford and beyond, bringing multiple viewpoints to bear on urgent challenges; The Sustainability Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop solutions at a global scale. The school is dedicated to creating and supporting a diverse, equitable, and inclusive environment, and to creating solutions that benefit all people, particularly those most affected by environmental damage and climate change. For more information on the school, click here . EE&M is seeking a full-time Learning Experience Designer responsible for designing sustainability-related learning solutions for professionals. As a Learning Experience Designer, you will apply instructional design methodologies to provide expertise and support in the design, development, implementation, and evaluation of face-to-face, hybrid, and online courses. You will work closely with faculty, course development vendors, and the Assistant Director for Professional Programs. The successful candidate will be excited to collaborate with other team members in projects and consultations that support faculty in their teaching of executives and professionals. In addition to demonstrating effectiveness in assessing learning needs and creative problem solving, the role requires exceptional communication and interpersonal skills. As we develop the portfolio of programs, the role requires flexibility with projects and a willingness to pivot if needs shift unexpectedly or with time. In achieving these goals, the Learning Experience Designer's responsibilities will include tasks such as: Uncover the unique teaching and learning needs specific to each course and/or program. Analyze learning goals and objectives to design, develop, and implement in person, online, and blended courses, programs, and activities according to instructional design principles and current research. Advise faculty on key issues, including course management, assessment methods, delivery strategies, pedagogy, accessibility, and inclusion. Collaborate with media production and technology development colleagues/vendors to support teaching and learning goals and enhance the student learning experience. Drive teaching excellence through classroom observations, individualized coaching, and recommendations to faculty about teaching strategies and techniques. Respond to faculty questions and comments in a timely, service-oriented manner, and refer faculty to relevant resources and learning solutions as appropriate. Draw on research and best practices from fields of learning, cognition, education and other relevant fields to inform the design of the learning experience. Stay abreast of educational technology research. - The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. To be successful in this position, you will need: Education & Experience: Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Knowledge, Skills and Abilities: Demonstrated effectiveness in consulting with faculty and subject matter experts to assess learning needs and recommend high-impact learning solutions. Demonstrated proficiency in applying instructional design theory, models, and best practices. Demonstrated proficiency using instructional design tools such as learning project plans, design documents, learning hierarchies, storyboards, prototypes, etc. Demonstrated application of adult learning principles and methods. Demonstrated ability to evaluate the effectiveness of learning materials. Excellent oral and written communication skills. Demonstrated ability to clearly and succinctly convey learning content in a manner that engages learners and improves learning. Demonstrated ability to work effectively in a team environment. Ability to work on multiple projects concurrently In addition, our preferred qualifications include: Familiarity with the field of sustainability, ideally with content knowledge in the areas of climate, nature, and/or sustainable human life. Demonstrated skills in project management. Higher education or online education experience. Classroom teaching experience. Experience with online learning platforms and/or learning management systems, especially Coursera. Experience managing external vendors for video, graphics, and other media development. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. The expected pay range for this position is $93,884 to $113,498 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. How to Apply We invite you to apply for this position by clicking on the "Apply for Job" button. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4631 Employee Status: Regular Grade: H Requisition ID: 107982 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Learning Experience Designer, External Education Doerr School of Sustainability, Stanford, California, United States NewHuman Resources 4 days ago Post Date 107982 Requisition # This position has been deemed critical by the Stanford Doerr School of Sustainability Dean's Office and is exempt from the hiring pause. This position is based on Stanford's main campus with consideration given to the option for a hybrid work schedule (partially onsite and offsite), subject to operational need. Interested candidates must include a resume and cover letter to be considered for this position. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa. About Us The Stanford Doerr School of Sustainability strives to create a future when humans and nature thrive in concert and in perpetuity. The school is made up of a three-part structure to drive global impact: Our academic departments and programs educate students and create new knowledge across areas of research that are crucial for advancing the long-term prosperity of the planet and people; Institutes bridge scholarship at Stanford and beyond, bringing multiple viewpoints to bear on urgent challenges; The Sustainability Accelerator drives new policy and technology solutions through a worldwide network of partners who work with our teams to develop solutions at a global scale. The school is dedicated to creating and supporting a diverse, equitable, and inclusive environment, and to creating solutions that benefit all people, particularly those most affected by environmental damage and climate change. For more information on the school, click here . EE&M is seeking a full-time Learning Experience Designer responsible for designing sustainability-related learning solutions for professionals. As a Learning Experience Designer, you will apply instructional design methodologies to provide expertise and support in the design, development, implementation, and evaluation of face-to-face, hybrid, and online courses. You will work closely with faculty, course development vendors, and the Assistant Director for Professional Programs. The successful candidate will be excited to collaborate with other team members in projects and consultations that support faculty in their teaching of executives and professionals. In addition to demonstrating effectiveness in assessing learning needs and creative problem solving, the role requires exceptional communication and interpersonal skills. As we develop the portfolio of programs, the role requires flexibility with projects and a willingness to pivot if needs shift unexpectedly or with time. In achieving these goals, the Learning Experience Designer's responsibilities will include tasks such as: Uncover the unique teaching and learning needs specific to each course and/or program. Analyze learning goals and objectives to design, develop, and implement in person, online, and blended courses, programs, and activities according to instructional design principles and current research. Advise faculty on key issues, including course management, assessment methods, delivery strategies, pedagogy, accessibility, and inclusion. Collaborate with media production and technology development colleagues/vendors to support teaching and learning goals and enhance the student learning experience. Drive teaching excellence through classroom observations, individualized coaching, and recommendations to faculty about teaching strategies and techniques. Respond to faculty questions and comments in a timely, service-oriented manner, and refer faculty to relevant resources and learning solutions as appropriate. Draw on research and best practices from fields of learning, cognition, education and other relevant fields to inform the design of the learning experience. Stay abreast of educational technology research. - The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. To be successful in this position, you will need: Education & Experience: Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Knowledge, Skills and Abilities: Demonstrated effectiveness in consulting with faculty and subject matter experts to assess learning needs and recommend high-impact learning solutions. Demonstrated proficiency in applying instructional design theory, models, and best practices. Demonstrated proficiency using instructional design tools such as learning project plans, design documents, learning hierarchies, storyboards, prototypes, etc. Demonstrated application of adult learning principles and methods. Demonstrated ability to evaluate the effectiveness of learning materials. Excellent oral and written communication skills. Demonstrated ability to clearly and succinctly convey learning content in a manner that engages learners and improves learning. Demonstrated ability to work effectively in a team environment. Ability to work on multiple projects concurrently In addition, our preferred qualifications include: Familiarity with the field of sustainability, ideally with content knowledge in the areas of climate, nature, and/or sustainable human life. Demonstrated skills in project management. Higher education or online education experience. Classroom teaching experience. Experience with online learning platforms and/or learning management systems, especially Coursera. Experience managing external vendors for video, graphics, and other media development. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. The expected pay range for this position is $93,884 to $113,498 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. How to Apply We invite you to apply for this position by clicking on the "Apply for Job" button. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4631 Employee Status: Regular Grade: H Requisition ID: 107982 Work Arrangement : Hybrid Eligible
ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term) School of Medicine, Stanford, California, United States Information Analytics Jun 03, 2025 Post Date 106579 Requisition University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions. About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data. About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs. The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : • Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Additional Information Schedule: Full-time Job Code: 4734 Employee Status: Fixed-Term Grade: K Requisition ID: 106579 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
ML Data Engineer - Healthcare Data Curation & Cleaning (1 Year Fixed Term) School of Medicine, Stanford, California, United States Information Analytics Jun 03, 2025 Post Date 106579 Requisition University is seeking a Big Data Architect 1 for a 1 year fixed term (possibility of renewal) to design and develop applications, test and build automation tools and support the development of Big Data architecture and analytical solutions. About Us: The Department of Biomedical Data Science merges the disciplines of biomedical informatics, biostatistics, computer science and advances in AI. The intersection of these disciplines is applied to precision health, leveraging data across the entire medical spectrum, including molecular, tissue, medical imaging, EHR, biosensory and population data. About the Position: We are seeking an experienced ML Data Engineer to drive the programmatic curation, cleaning, and generation of healthcare data. In this role, you will focus exclusively on developing and maintaining automated, ML-accelerated pipelines that ensure high-quality data ready for machine learning applications. Your work will be pivotal in shaping the integrity of our data and supporting downstream predictive models in a complex healthcare environment. You Will Find This Position a Good Fit If: You are passionate about transforming raw healthcare data into valuable insights. You believe in the critical role of robust data curation in advancing machine learning in healthcare. You thrive in environments where you can work independently on complex data challenges while collaborating with multidisciplinary teams. You are excited to work with patient-level data and embrace challenges related to data diversity and complexity. Duties include: Design Big Data systems that are scalable, optimized and fault-tolerant. Work closely with scientific staff, IT professional and project managers to understand their data requirements for existing and future projects involving Big Data. Develop, test, implement, and maintain database management applications. Optimize and tune the system, perform software review and maintenance to ensure that data design elements are reusable, repeatable and robust. Contribute to the development of guidelines, standards, and processes to ensure data quality, integrity and security of systems and data appropriate to risk. Participate in and/or contribute to setting strategy and standards through data architecture and implementation, leveraging Big Data, analytics tools and technologies. Work with IT and data owners to understand the types of data collected in various databases and data warehouses. Research and suggest new toolsets/methods to improve data ingestion, storage, and data access. Key Responsibilities: Data Pipeline Engineering: Design, implement, and maintain robust pipelines for the programmatic cleaning, transformation, and curation of healthcare data. Develop automated processes to curate and validate data, ensuring accuracy and compliance with healthcare standards (e.g. OMOP CDM, FHIR). ML Data Engineering: Leverage core machine learning techniques to generate datasets, clean existing health records, join heterogeneous data sources, and enhance data quality for model training. Implement innovative solutions to detect and correct data inconsistencies and anomalies in large-scale healthcare datasets. Healthcare Data Expertise: Work extensively with patient-level health data, ensuring that data handling practices adhere to industry regulations and ethical standards. Utilize the OMOP Common Data Model (OMOP CDM) to standardize and harmonize disparate healthcare data sources, enhancing interoperability and scalability. Collaboration & Continuous Improvement: Collaborate closely with data scientists, clinical informaticians, and engineers to align data engineering practices with analytical and clinical requirements. Continuously monitor, troubleshoot, and optimize data workflows to support dynamic research and operational needs. The expected pay range for this position is $157,945 to $177,385 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. DESIRED QUALIFICATIONS: 3+ years of experience in software development and data engineering with a strong focus on data cleaning, transformation, and creation. Proficiency in Python and experience with data processing libraries (e.g., Pandas, Polars, NumPy). Hands-on experience in building and maintaining automated data pipelines for large-scale data processing. Familiarity with machine learning frameworks (e.g., PyTorch, JAX, scikit-learn) as applied to data quality and augmentation tasks. Expertise in working with healthcare data, including familiarity with the OMOP Common Data Model (OMOP CDM). Strong experience in a Linux environment and comfort with UNIX command-line tools. Proven ability to work collaboratively in multidisciplinary teams and communicate technical concepts effectively. PREFERRED QUALIFICATIONS: Experience with cloud platforms (e.g., GCP, AWS, or Azure) and distributed computing frameworks. Proficiency with version control systems (e.g., Git) and containerization tools (e.g., Docker). Familiarity with healthcare data standards and regulatory requirements. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in scientific or analytic field and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Knowledge of key data structures algorithms, and techniques pertinent to systems that support high volume, velocity, or variety datasets (including data mining, machine learning, NLP, data retrieval). • Experience with relational, NoSQL, or NewSQL database systems and data modeling, structured and unstructured. • Experience in parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch). • Experience in scripting languages and experience in debugging them, experience with high performance/systems languages and techniques. • Knowledge of benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies. • Ability to use and integrate security controls for web applications, mobile platforms, and backend systems. • Experience deploying reliable data systems and data quality management. • Ability to research, evaluate, architect, and deploy new tools, frameworks, and patterns to build scalable Big Data platforms. • Ability to document use cases, solutions and recommendations. • Demonstrated excellence in written and verbal communication skills. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : • Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds. • Occasionally sit, use a telephone or write by hand. • Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Additional Information Schedule: Full-time Job Code: 4734 Employee Status: Fixed-Term Grade: K Requisition ID: 106579 Work Arrangement : Hybrid Eligible
EOP Research Scholar Graduate School of Education, Stanford, California, United States Academic Oct 24, 2025 Post Date 107629 Requisition # The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The Educational Opportunity Project (EOP), housed within the GSE, is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. We hope that researchers will use the data to generate evidence about what policies and contexts are most effective at increasing educational opportunity, and that such evidence will inform educational policy and practices. Please visit edopportunity.org for more information about our work and team. Position Summary: The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Scholar to support new work developing and analyzing a novel database of kindergarten readiness assessment data. The Research Scholar will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role. The initial appointment will be 1-year fixed term, with renewal contingent on performance and project needs. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. The expected pay range for this position is $93,000 to $148,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Core Duties: Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness. Build replicable and efficient software code for data cleaning and estimation. Create documentation for all code and analyses. Perform complex statistical analyses and develop graphs and tables for publication and presentation. Conceptualize and draft research papers Collaborate with other EOP researchers and collaborators. QUALIFICATIONS / MINIMUM REQUIREMENTS: PhD in Education, Sociology, Statistics, or a related field. Experience and interest in conducting research on educational opportunity and equity. High-level statistical and quantitative data analysis skills spanning educational measurement, statistical analysis, and research design. Content expertise in education policy, sociology of education, economics of education, and/or related fields. Experience working independently with large datasets. Demonstrated collaboration, communication, and writing skills. Physical requirements: Constantly perform desk-based computer tasks. Frequent sitting. Occasionally stand/walk, reach/work above shoulders, grasp lightly/fine manipulation, grasp forcefully, use a telephone, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds. Rarely twist/bend/stoop/squat, kneel/crawl. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . WHY STANFORD IS FOR YOU Stanford's dedicated 16,000+ staff, who come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy, and improve lives on a global scale. We provide market competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our unique perks align with what matters to you: Freedom to grow. As one of the greatest intellectual hubs in the world, take advantage of development programs, tuition reimbursement plus $800 you receive annually towards skill-building classes, or audit a Stanford course. Join a TedTalk, film screening, or listen to a renowned author or leader discuss global issues. A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care and caregiving support. A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes. Discovery and fun. Stroll through historic sculptures, trails, and museums. Create an avatar and participate in virtual reality adventures or join one with fellow staff on Stanford vacations! Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computing, cell phones, outdoor recreation, travel, entertainment, and more. We pride ourselves in being a culture that encourages and empowers you. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 6784 Employee Status: Fixed-Term Grade: R99 Requisition ID: 107629 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
EOP Research Scholar Graduate School of Education, Stanford, California, United States Academic Oct 24, 2025 Post Date 107629 Requisition # The Stanford Graduate School of Education (GSE) is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The Educational Opportunity Project (EOP), housed within the GSE, is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores. We hope that researchers will use the data to generate evidence about what policies and contexts are most effective at increasing educational opportunity, and that such evidence will inform educational policy and practices. Please visit edopportunity.org for more information about our work and team. Position Summary: The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Scholar to support new work developing and analyzing a novel database of kindergarten readiness assessment data. The Research Scholar will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role. The initial appointment will be 1-year fixed term, with renewal contingent on performance and project needs. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. The expected pay range for this position is $93,000 to $148,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Core Duties: Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness. Build replicable and efficient software code for data cleaning and estimation. Create documentation for all code and analyses. Perform complex statistical analyses and develop graphs and tables for publication and presentation. Conceptualize and draft research papers Collaborate with other EOP researchers and collaborators. QUALIFICATIONS / MINIMUM REQUIREMENTS: PhD in Education, Sociology, Statistics, or a related field. Experience and interest in conducting research on educational opportunity and equity. High-level statistical and quantitative data analysis skills spanning educational measurement, statistical analysis, and research design. Content expertise in education policy, sociology of education, economics of education, and/or related fields. Experience working independently with large datasets. Demonstrated collaboration, communication, and writing skills. Physical requirements: Constantly perform desk-based computer tasks. Frequent sitting. Occasionally stand/walk, reach/work above shoulders, grasp lightly/fine manipulation, grasp forcefully, use a telephone, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds. Rarely twist/bend/stoop/squat, kneel/crawl. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . WHY STANFORD IS FOR YOU Stanford's dedicated 16,000+ staff, who come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy, and improve lives on a global scale. We provide market competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our unique perks align with what matters to you: Freedom to grow. As one of the greatest intellectual hubs in the world, take advantage of development programs, tuition reimbursement plus $800 you receive annually towards skill-building classes, or audit a Stanford course. Join a TedTalk, film screening, or listen to a renowned author or leader discuss global issues. A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care and caregiving support. A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes. Discovery and fun. Stroll through historic sculptures, trails, and museums. Create an avatar and participate in virtual reality adventures or join one with fellow staff on Stanford vacations! Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computing, cell phones, outdoor recreation, travel, entertainment, and more. We pride ourselves in being a culture that encourages and empowers you. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 6784 Employee Status: Fixed-Term Grade: R99 Requisition ID: 107629 Work Arrangement : Hybrid Eligible
Data Scientist, Stanford Law School School of Law, Stanford, California, United States Research Mar 10, 2025 Post Date 102373 Requisition : This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab.About us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of lawyers, data scientists, social scientists, and engineers who are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health.As a Data Scientist, you will: Support collecting, managing, and cleaning of data sets from regulatory agencies, understand discrepancies and build out and document a data dictionary to improve knowledge of different systems and how to manage discrepancies.Produce reports and publications on findings to our government partners and for academic publications, based on extensive data analysis.Work with PI and Research Director to ensure data management/collection is clear, secure, and robust; improve processes for collecting and managing data.Support training of research fellows on best practices and technical skills Core Duties: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed.Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.Research and reconcile data discrepancies occurring among various information systems and reports.Collaborate with data managers to define and implement data standards and common data elements for data collection.Identify new sources of data and methods to improve data collection, analysis and reporting.May test prototype software and participate in approval and release process for new software.Other duties as assigned. Minimum Requirements: This is a one-year fixed term position, with the option of renewal. Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, mathematics or engineering. Knowledge, Skills and Abilities: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external stakeholders. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Application Instructions: We invite you to apply by clicking on the "Apply for Job" button. To be considered, please submit the following items along with your online application: CVCover LetterProject and code samples or GithubTranscript (if graduated within 3 years) The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 102373 Work Arrangement : Hybrid Eligible, On Site
01/14/2026
Full time
Data Scientist, Stanford Law School School of Law, Stanford, California, United States Research Mar 10, 2025 Post Date 102373 Requisition : This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.The Regulation, Evaluation, and Governance Lab (RegLab) at Stanford University is looking for a Data Scientist to work across our research programs. This role will collaborate closely with teams of research fellows and students on projects related to machine learning and the public sector. We are looking for someone who is a self-learner, research-oriented, and excited by the mission of the Lab.About us: Stanford RegLab is a social impact lab that partners with government and nonprofits to use machine learning and data science to modernize the public sector. We are an interdisciplinary team of lawyers, data scientists, social scientists, and engineers who are passionate about building high impact demonstration projects for the future of governance. Some of our partners include the EPA, IRS, DOL, and Santa Clara County Public Health.As a Data Scientist, you will: Support collecting, managing, and cleaning of data sets from regulatory agencies, understand discrepancies and build out and document a data dictionary to improve knowledge of different systems and how to manage discrepancies.Produce reports and publications on findings to our government partners and for academic publications, based on extensive data analysis.Work with PI and Research Director to ensure data management/collection is clear, secure, and robust; improve processes for collecting and managing data.Support training of research fellows on best practices and technical skills Core Duties: Identify and select usable data from subtle and complex data patterns. Assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information.Design methods to validate data to ensure high quality product. Explore creative approach to using data based on technical expertise of available data. Distribute reports to applicable agencies, researchers, management and other internal end-users and provide interpretation of data when needed.Collect, manage and clean datasets using an extraction and reporting programming language to ensure data integrity.Research and reconcile data discrepancies occurring among various information systems and reports.Collaborate with data managers to define and implement data standards and common data elements for data collection.Identify new sources of data and methods to improve data collection, analysis and reporting.May test prototype software and participate in approval and release process for new software.Other duties as assigned. Minimum Requirements: This is a one-year fixed term position, with the option of renewal. Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, mathematics or engineering. Knowledge, Skills and Abilities: Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Basic knowledge of software engineering principles and strong knowledge of at least one programming language, such as Python, R, and/or SQL); basic statistical ability. Ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Strong listening, verbal and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external stakeholders. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Application Instructions: We invite you to apply by clicking on the "Apply for Job" button. To be considered, please submit the following items along with your online application: CVCover LetterProject and code samples or GithubTranscript (if graduated within 3 years) The expected pay range for this position is $82,468 to $106,256 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Note: The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4744 Employee Status: Fixed-Term Grade: G Requisition ID: 102373 Work Arrangement : Hybrid Eligible, On Site
Research Data Analyst 2 School of Medicine, Stanford, California, United States NewInformation Analytics 6 days ago Post Date 107867 Requisition # Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Stanford University is one of the world's most renowned universities.Sitting in the heart of the San Francisco Bay Area among the valley's most progressive companies. The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of the human disease.This is done through discovery (research), education, and clinical care. You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements.Our culture is fast-paced, energetic, and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: Events and program for children, sports camps, tuition options World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty Work/life and family-friendly policies and reimbursement Participation in Stanford's social responsibility and sustainable programs for a better world A vibrant university culture that values the uniqueness of each individual We are seeking candidates who are progressive thinkers, see challenges as simply problems to solve, and have the spirit and energy to change the world. About the Department of Pathology: Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease.We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields.Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit: About the Sean N. Parker Center: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is the first of its kind, dedicated to advancing treatments and discovering underlying immune mechanisms to develop lasting cures for allergies and asthma in both children and adults. Our interdisciplinary team of leading scientists, physician-scientists, and specialists from fields such as immunology, gastroenterology, otolaryngology, chemistry, bioengineering, pathology, pulmonology, and genetics collaborates on cutting-edge research aimed at understanding immune dysfunctions that lead to allergic reactions. As a global leader in allergy research, our Center works collaboratively with researchers worldwide, sharing data through an interlinked network of satellite centers to conduct innovative clinical trials. Our research efforts extend beyond allergies and asthma to encompass a range of immune-related disorders, including eczema, food allergies, eosinophilic conditions, drug allergies, and gastrointestinal diseases. Through laboratory and computational research, clinical trials, and community outreach, we are committed to developing rational, evidence-based therapies that provide the safest and most effective treatments for patients. By combining innovative science with compassionate care, we strive to transform lives at both local and global levels. About the Position: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. At the Sean N. Parker Center for Allergy and Asthma Research, the world's leading scientists, physician scientists, and research teams come together to study and understand the molecular underpinnings of allergies and asthma. We are committed to finding causes, treatments, and cures for allergies and asthma, and bringing these to children, adults, and their families at local and global levels. Transforming lives with innovative science and compassionate care. Duties include: Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Assist with the design of data collection instruments and statistical analysis plans under the supervision of research data manager and a senior biostatistician Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Desired Qualifications: Proficient understanding of statistical concepts and analytical techniques used in clinical and translational research Experience in a quantitative discipline such as economics, finance, statistics or engineering. Extremely comfortable with computers and quick to learn new software REDCap experience (data entry, building REDCap forms, organizing REDCap surveys, etc.) or iMedidata experience Able to work independently and heavily multi-task Good communication skills Experience in project and/or database management Ability to understand and work with large and complex data sets - QA/QC, data cleaning, and multi-variate reporting Advanced knowledge of programming Clinical/medical terminology Database experience (e.g. MySQL, Oracle) Master's degree or higher or a combination of education and relevant experience. Many years of Experience in a quantitative discipline such as biology, laboratory, statistics or engineering. Education & Experiences (Required): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills, and Abilities (Required): Proficient in at least one of R, SAS, SPSS, or STATA. Skills in descriptive analysis, modeling of data, and graphic interfaces. Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. Physical Requirements : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions: Some work may be performed in a laboratory or field setting. The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire . click apply for full job details
01/14/2026
Full time
Research Data Analyst 2 School of Medicine, Stanford, California, United States NewInformation Analytics 6 days ago Post Date 107867 Requisition # Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. Stanford University is one of the world's most renowned universities.Sitting in the heart of the San Francisco Bay Area among the valley's most progressive companies. The Department of Pathology at Stanford School of Medicine, one of its founding departments, stands as a leader among its peers nationwide. Our preeminent faculty spans from emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of the human disease.This is done through discovery (research), education, and clinical care. You will be working with an unparalleled leading-edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference and participate in human advancements.Our culture is fast-paced, energetic, and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options: Events and program for children, sports camps, tuition options World-class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading-edge speakers and faculty Work/life and family-friendly policies and reimbursement Participation in Stanford's social responsibility and sustainable programs for a better world A vibrant university culture that values the uniqueness of each individual We are seeking candidates who are progressive thinkers, see challenges as simply problems to solve, and have the spirit and energy to change the world. About the Department of Pathology: Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease.We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and be research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and also by educating future leaders in pathology and related fields.Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals. For more information about the department visit: About the Sean N. Parker Center: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is the first of its kind, dedicated to advancing treatments and discovering underlying immune mechanisms to develop lasting cures for allergies and asthma in both children and adults. Our interdisciplinary team of leading scientists, physician-scientists, and specialists from fields such as immunology, gastroenterology, otolaryngology, chemistry, bioengineering, pathology, pulmonology, and genetics collaborates on cutting-edge research aimed at understanding immune dysfunctions that lead to allergic reactions. As a global leader in allergy research, our Center works collaboratively with researchers worldwide, sharing data through an interlinked network of satellite centers to conduct innovative clinical trials. Our research efforts extend beyond allergies and asthma to encompass a range of immune-related disorders, including eczema, food allergies, eosinophilic conditions, drug allergies, and gastrointestinal diseases. Through laboratory and computational research, clinical trials, and community outreach, we are committed to developing rational, evidence-based therapies that provide the safest and most effective treatments for patients. By combining innovative science with compassionate care, we strive to transform lives at both local and global levels. About the Position: The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision. At the Sean N. Parker Center for Allergy and Asthma Research, the world's leading scientists, physician scientists, and research teams come together to study and understand the molecular underpinnings of allergies and asthma. We are committed to finding causes, treatments, and cures for allergies and asthma, and bringing these to children, adults, and their families at local and global levels. Transforming lives with innovative science and compassionate care. Duties include: Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Assist with the design of data collection instruments and statistical analysis plans under the supervision of research data manager and a senior biostatistician Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Desired Qualifications: Proficient understanding of statistical concepts and analytical techniques used in clinical and translational research Experience in a quantitative discipline such as economics, finance, statistics or engineering. Extremely comfortable with computers and quick to learn new software REDCap experience (data entry, building REDCap forms, organizing REDCap surveys, etc.) or iMedidata experience Able to work independently and heavily multi-task Good communication skills Experience in project and/or database management Ability to understand and work with large and complex data sets - QA/QC, data cleaning, and multi-variate reporting Advanced knowledge of programming Clinical/medical terminology Database experience (e.g. MySQL, Oracle) Master's degree or higher or a combination of education and relevant experience. Many years of Experience in a quantitative discipline such as biology, laboratory, statistics or engineering. Education & Experiences (Required): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills, and Abilities (Required): Proficient in at least one of R, SAS, SPSS, or STATA. Skills in descriptive analysis, modeling of data, and graphic interfaces. Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. Physical Requirements : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. Working Conditions: Some work may be performed in a laboratory or field setting. The expected pay range for this position is $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire . click apply for full job details
Software Developer 1 School of Medicine, Stanford, California, United States Information Technology Services Sep 03, 2025 Post Date 107107 Requisition Department of Genetics in the Stanford University School of Medicine is a world-renowned hub for innovation in genomics, computational biology, and translational research. Our lab focuses on developing next-generation computational frameworks and automatic data analyses systems to analyze single-cell and spatial omics data, enabling new discoveries in developmental biology and disease modeling.We are seeking up to two Software Developer 1 to join our interdisciplinary team and support the development of a modular automatic data analyses system for automating single-cell and spatial data analysis. The ideal candidate will contribute to the design, implementation, and scaling of cloud-based applications that power predictive models of organogenesis and disease progression.This is an excellent opportunity to work at the forefront of biomedical data science, collaborating with world-class researchers, engineers, and entrepreneurs in a fast-paced academic and translational research environment.Duties include: Assess user needs and requirements.Design and develop applications that may involve sophisticated data manipulation.Maintain and update existing programs.Troubleshoot and solve technical problems.Create programs to meet reporting and analysis needs.Design and implement user and operations training programs.Document changes in software for end users.Follow team software development methodology.Serve as technical resource with respect to applications.Support research translation, licensing, and commercialization strategy, including coordination with venture capital firms and Stanford's innovation ecosystem.Assist with scientific writing, data visualization, and manuscript preparation. - Other duties may also be assigned.DESIRED QUALIFICATIONS: Bachelor's degree or higher in Computer Science, Bioinformatics, Biomedical Engineering, Management Science & Engineering, or a related field.Strong background in data science, or computational biology, especially in handling single-cell, spatial transcriptomics, or imaging data.Strong background in automatic data analyses tool development and deployment, distributed systems and othersProficiency in Python, R, or other scientific programming languages, with experience in software development and data pipeline automation.Experience with cloud computing platforms (e.g., AWS, GCP) and collaborative development tools (e.g., GitHub, Docker).Familiarity with scientific publication processes, manuscript preparation, and figures.Demonstrated ability to assess user needs, troubleshoot complex technical issues, and design user-friendly, scalable applications.Knowledge of research translation and commercialization strategy, including startup planning and engagement with venture capital firms.Experience preparing research presentations, grant proposals, or supporting industry/academic collaborations.Ability to work independently and collaboratively across interdisciplinary teams in a fast-paced academic or startup-like environment.Excellent communication and organizational skills, with attention to detail and strong documentation practices. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and three years of relevant experience or a combination of education and relevant experience.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Working knowledge of latest software and design standards.Ability to define and solve logical problems for technical applications.Knowledge of and ability to select, adapt, and effectively use a variety of programming methods.Ability to recognize and recommend needed changes in user and/or operations procedures.Basic knowledge of software engineering principles.Strong knowledge of at least one programming language. CERTIFICATIONS & LICENSES:None. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, grasp lightly/fine manipulation.Occasionally stand/walk, writing by hand.Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS:May work extended hours, evening and weekends. WORK STANDARDS (from JDL): Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $107,423 to $133,600 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information Schedule: Full-time Job Code: 4821 Employee Status: Regular Grade: I Requisition ID: 107107 Work Arrangement : On Site
01/14/2026
Full time
Software Developer 1 School of Medicine, Stanford, California, United States Information Technology Services Sep 03, 2025 Post Date 107107 Requisition Department of Genetics in the Stanford University School of Medicine is a world-renowned hub for innovation in genomics, computational biology, and translational research. Our lab focuses on developing next-generation computational frameworks and automatic data analyses systems to analyze single-cell and spatial omics data, enabling new discoveries in developmental biology and disease modeling.We are seeking up to two Software Developer 1 to join our interdisciplinary team and support the development of a modular automatic data analyses system for automating single-cell and spatial data analysis. The ideal candidate will contribute to the design, implementation, and scaling of cloud-based applications that power predictive models of organogenesis and disease progression.This is an excellent opportunity to work at the forefront of biomedical data science, collaborating with world-class researchers, engineers, and entrepreneurs in a fast-paced academic and translational research environment.Duties include: Assess user needs and requirements.Design and develop applications that may involve sophisticated data manipulation.Maintain and update existing programs.Troubleshoot and solve technical problems.Create programs to meet reporting and analysis needs.Design and implement user and operations training programs.Document changes in software for end users.Follow team software development methodology.Serve as technical resource with respect to applications.Support research translation, licensing, and commercialization strategy, including coordination with venture capital firms and Stanford's innovation ecosystem.Assist with scientific writing, data visualization, and manuscript preparation. - Other duties may also be assigned.DESIRED QUALIFICATIONS: Bachelor's degree or higher in Computer Science, Bioinformatics, Biomedical Engineering, Management Science & Engineering, or a related field.Strong background in data science, or computational biology, especially in handling single-cell, spatial transcriptomics, or imaging data.Strong background in automatic data analyses tool development and deployment, distributed systems and othersProficiency in Python, R, or other scientific programming languages, with experience in software development and data pipeline automation.Experience with cloud computing platforms (e.g., AWS, GCP) and collaborative development tools (e.g., GitHub, Docker).Familiarity with scientific publication processes, manuscript preparation, and figures.Demonstrated ability to assess user needs, troubleshoot complex technical issues, and design user-friendly, scalable applications.Knowledge of research translation and commercialization strategy, including startup planning and engagement with venture capital firms.Experience preparing research presentations, grant proposals, or supporting industry/academic collaborations.Ability to work independently and collaboratively across interdisciplinary teams in a fast-paced academic or startup-like environment.Excellent communication and organizational skills, with attention to detail and strong documentation practices. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and three years of relevant experience or a combination of education and relevant experience.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Working knowledge of latest software and design standards.Ability to define and solve logical problems for technical applications.Knowledge of and ability to select, adapt, and effectively use a variety of programming methods.Ability to recognize and recommend needed changes in user and/or operations procedures.Basic knowledge of software engineering principles.Strong knowledge of at least one programming language. CERTIFICATIONS & LICENSES:None. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, grasp lightly/fine manipulation.Occasionally stand/walk, writing by hand.Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS:May work extended hours, evening and weekends. WORK STANDARDS (from JDL): Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $107,423 to $133,600 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.Additional Information Schedule: Full-time Job Code: 4821 Employee Status: Regular Grade: I Requisition ID: 107107 Work Arrangement : On Site
Staff Scientist School of Medicine, Stanford, California, United States Information Technology Services Jul 14, 2025 Post Date 106847 Requisition Pritchard lab in the Genetics Department at Stanford University is seeking a Staff Scientist (Software Developer 2) to conceptualize, develop, supervise, and implement novel computational approaches for genomics. The successful applicant must have experience in the main areas of application - functional or single cell genomics and/or statistical genetics as well as strong experience in modern computational statistics and machine learning. This position will be on-site. The successful applicant will have broad responsibility for providing technical direction on multiple projects conducted by the lab as well as leading projects of their own. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing of code, and preparation of scientific manuscripts and revisions. Strong communication skills (speaking and writing) are essential. The work will require innovative programming and analysis skills with an emphasis on algorithmic development for machine learning and/or statistical computing. Mentoring trainees on technical aspects of their project will be an essential part of this job. Duties include: Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently.Supervise and mentor PhD students and postdocs, as necessary, working on all phases of research projects.Engage in long-term strategic planning.Troubleshoot and resolve complex technical problems.Lead projects, as necessary, for special systems and application development in areas of complex problems.Contribute to manuscript preparation and revisions as lead- or co-author.Contribute to grant preparation.Participate in scientific meetings and journal clubs. - Other duties may also be assigned.DESIRED QUALIFICATIONS:The successful candidate must have a proven track record of developing state-of-the-art computational methods for data analysis, going all the way from conceptualization and theoretical development to implementation, testing, data analysis, and manuscript preparation. They must have outstanding technical skills in machine learning and/or statistical methods with experience in developing new approaches.They must have training and research experience (preferably at postdoctoral level) in at least one of the following areas of application: functional genomics, single cell genomics, statistical genetics. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Expertise in designing, developing, testing, and deploying applications.Proficiency with application design and data modeling.Ability to define and solve logical problems for highly technical applications.Effective communication skills with both technical and non-technical clients.Ability to lead activities on structured team development projects.Ability to select, adapt, and effectively use a variety of programming methods.Knowledge of application domain. CERTIFICATIONS & LICENSES:None. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, grasp lightly/fine manipulation.Occasionally stand/walk, writing by hand.Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours, evening and weekends.The successful candidate will work in-person daily on the Stanford University campus. The expected pay range for this position is $131,992 to $160,555 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. WORK STANDARDS (from JDL): Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4822 Employee Status: Regular Grade: J Department URL: Requisition ID: 106847 Work Arrangement : On Site
01/14/2026
Full time
Staff Scientist School of Medicine, Stanford, California, United States Information Technology Services Jul 14, 2025 Post Date 106847 Requisition Pritchard lab in the Genetics Department at Stanford University is seeking a Staff Scientist (Software Developer 2) to conceptualize, develop, supervise, and implement novel computational approaches for genomics. The successful applicant must have experience in the main areas of application - functional or single cell genomics and/or statistical genetics as well as strong experience in modern computational statistics and machine learning. This position will be on-site. The successful applicant will have broad responsibility for providing technical direction on multiple projects conducted by the lab as well as leading projects of their own. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing of code, and preparation of scientific manuscripts and revisions. Strong communication skills (speaking and writing) are essential. The work will require innovative programming and analysis skills with an emphasis on algorithmic development for machine learning and/or statistical computing. Mentoring trainees on technical aspects of their project will be an essential part of this job. Duties include: Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently.Supervise and mentor PhD students and postdocs, as necessary, working on all phases of research projects.Engage in long-term strategic planning.Troubleshoot and resolve complex technical problems.Lead projects, as necessary, for special systems and application development in areas of complex problems.Contribute to manuscript preparation and revisions as lead- or co-author.Contribute to grant preparation.Participate in scientific meetings and journal clubs. - Other duties may also be assigned.DESIRED QUALIFICATIONS:The successful candidate must have a proven track record of developing state-of-the-art computational methods for data analysis, going all the way from conceptualization and theoretical development to implementation, testing, data analysis, and manuscript preparation. They must have outstanding technical skills in machine learning and/or statistical methods with experience in developing new approaches.They must have training and research experience (preferably at postdoctoral level) in at least one of the following areas of application: functional genomics, single cell genomics, statistical genetics. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Expertise in designing, developing, testing, and deploying applications.Proficiency with application design and data modeling.Ability to define and solve logical problems for highly technical applications.Effective communication skills with both technical and non-technical clients.Ability to lead activities on structured team development projects.Ability to select, adapt, and effectively use a variety of programming methods.Knowledge of application domain. CERTIFICATIONS & LICENSES:None. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks.Frequently sit, grasp lightly/fine manipulation.Occasionally stand/walk, writing by hand.Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours, evening and weekends.The successful candidate will work in-person daily on the Stanford University campus. The expected pay range for this position is $131,992 to $160,555 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. WORK STANDARDS (from JDL): Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . Additional Information Schedule: Full-time Job Code: 4822 Employee Status: Regular Grade: J Department URL: Requisition ID: 106847 Work Arrangement : On Site
DevOps Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Nov 17, 2025 Post Date 107201 Requisition # JOB PURPOSE Enterprise Technologies is a central IT unit at Stanford University, responsible for delivering foundational computing and communication infrastructure that supports the University's academic, research, and administrative functions. We are seeking a Senior DevOps Engineer with proven expertise in API development, as well as administration and integration experience across Google Workspace, AWS, and Microsoft Azure. In this role, you will design and automate cloud infrastructure, optimize CI/CD pipelines, develop and maintain internal APIs, and manage cloud-based configurations, identity services, and security policies-leveraging scripting and API-driven automation across multi-cloud and enterprise collaboration platforms. RESPONSIBILITIES The DevOps Engineer will serve as a key member of the team, leading the design, development, planning, support, and security of Stanford's infrastructure with a focus on Google Cloud technologies. This role is critical in optimizing software delivery pipelines, enabling collaboration across teams, and ensuring the reliability, performance, and scalability of systems running in Google Cloud. The ideal candidate will have deep experience with infrastructure automation, cloud-native tooling, and API integrations within the Google ecosystem-including GCP and Google Workspace. Strong leadership, scripting, and communication skills are essential. Key responsibilities include: CORE DUTIES: Design, implement, and maintain scalable CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Automate infrastructure provisioning using tools like Terraform, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go, or Node.js. Manage and integrate Google Workspace with internal systems, including API access, identity provisioning (via Directory API), and service automation. Monitor system health and performance using observability tools (e.g., Prometheus, Grafana, ELK, Datadog). Implement security best practices, including IAM, secrets management, and compliance enforcement. Collaborate with engineering, security, and IT teams to maintain a secure and efficient development environment. Support incident response, root cause analysis, and disaster recovery procedures. Document infrastructure, processes, and API endpoints thoroughly. Participating in 24x7 on-call support rotation. MINIMUM REQUIREMENTS: Education & Experience Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities: Bachelor's degree in Computer Science, Engineering, or equivalent work experience. 5+ years in DevOps, SRE, or Platform Engineering roles. Hands-on experience with public cloud platforms (AWS, Azure, or GCP-GCP preferred). Strong programming skills in one or more languages for API development (e.g., Python, Go, Node.js). Proficiency with CI/CD tools and IaC frameworks (e.g., Terraform, Ansible, CloudFormation). Experience with Docker and container orchestration tools such as Kubernetes or ECS. Demonstrated experience managing and integrating Google Workspace in enterprise environments, including APIs, security settings, and automation. Solid knowledge of Linux administration, networking, and cloud security principles. Strong troubleshooting and debugging skills across the stack. Excellent communication, documentation, and collaboration abilities. Should demonstrate a willingness to learn and adapt to new technologies and industry trends. Preferred Qualifications (Nice to Have): Experience building and maintaining internal developer platforms or shared infrastructure. Experience with API management platforms (e.g., Apigee, AWS API Gateway, Kong). Hands-on experience with Proofpoint administration, including email security configuration and policy management. Experience with Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and security/compliance controls. Google Workspace Administrator or GCP-related certifications. Experience with Entra ID or other Identity Providers for SSO and federated authentication flows. The expected pay range for this position is $150,289 to $171,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4833 Employee Status: Regular Grade: K Requisition ID: 107201 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
DevOps Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Nov 17, 2025 Post Date 107201 Requisition # JOB PURPOSE Enterprise Technologies is a central IT unit at Stanford University, responsible for delivering foundational computing and communication infrastructure that supports the University's academic, research, and administrative functions. We are seeking a Senior DevOps Engineer with proven expertise in API development, as well as administration and integration experience across Google Workspace, AWS, and Microsoft Azure. In this role, you will design and automate cloud infrastructure, optimize CI/CD pipelines, develop and maintain internal APIs, and manage cloud-based configurations, identity services, and security policies-leveraging scripting and API-driven automation across multi-cloud and enterprise collaboration platforms. RESPONSIBILITIES The DevOps Engineer will serve as a key member of the team, leading the design, development, planning, support, and security of Stanford's infrastructure with a focus on Google Cloud technologies. This role is critical in optimizing software delivery pipelines, enabling collaboration across teams, and ensuring the reliability, performance, and scalability of systems running in Google Cloud. The ideal candidate will have deep experience with infrastructure automation, cloud-native tooling, and API integrations within the Google ecosystem-including GCP and Google Workspace. Strong leadership, scripting, and communication skills are essential. Key responsibilities include: CORE DUTIES: Design, implement, and maintain scalable CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI). Automate infrastructure provisioning using tools like Terraform, CloudFormation, or Pulumi. Build, deploy, and manage containerized applications using Docker and orchestration platforms (Kubernetes, ECS, etc.). Develop and maintain RESTful and/or GraphQL APIs using Python, Go, or Node.js. Manage and integrate Google Workspace with internal systems, including API access, identity provisioning (via Directory API), and service automation. Monitor system health and performance using observability tools (e.g., Prometheus, Grafana, ELK, Datadog). Implement security best practices, including IAM, secrets management, and compliance enforcement. Collaborate with engineering, security, and IT teams to maintain a secure and efficient development environment. Support incident response, root cause analysis, and disaster recovery procedures. Document infrastructure, processes, and API endpoints thoroughly. Participating in 24x7 on-call support rotation. MINIMUM REQUIREMENTS: Education & Experience Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities: Bachelor's degree in Computer Science, Engineering, or equivalent work experience. 5+ years in DevOps, SRE, or Platform Engineering roles. Hands-on experience with public cloud platforms (AWS, Azure, or GCP-GCP preferred). Strong programming skills in one or more languages for API development (e.g., Python, Go, Node.js). Proficiency with CI/CD tools and IaC frameworks (e.g., Terraform, Ansible, CloudFormation). Experience with Docker and container orchestration tools such as Kubernetes or ECS. Demonstrated experience managing and integrating Google Workspace in enterprise environments, including APIs, security settings, and automation. Solid knowledge of Linux administration, networking, and cloud security principles. Strong troubleshooting and debugging skills across the stack. Excellent communication, documentation, and collaboration abilities. Should demonstrate a willingness to learn and adapt to new technologies and industry trends. Preferred Qualifications (Nice to Have): Experience building and maintaining internal developer platforms or shared infrastructure. Experience with API management platforms (e.g., Apigee, AWS API Gateway, Kong). Hands-on experience with Proofpoint administration, including email security configuration and policy management. Experience with Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and security/compliance controls. Google Workspace Administrator or GCP-related certifications. Experience with Entra ID or other Identity Providers for SSO and federated authentication flows. The expected pay range for this position is $150,289 to $171,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4833 Employee Status: Regular Grade: K Requisition ID: 107201 Work Arrangement : Hybrid Eligible
Space Data Manager School of Medicine, Stanford, California, United States Information Analytics Dec 18, 2025 Post Date 107709 Requisition # The mission of the Office of Facilities Planning and Management (OFPM) in the School of Medicine is to plan for and manage the facilities needs of the School of Medicine community in the areas of facilities operations, capital planning and budgeting, projects from programming through occupancy, space inventory, and facility assets. In pursuit of this mission, the department is seeking a Space Data Manager who will oversee and manage space data analytics and reporting for the School of Medicine (SoM). The Space Data Manager will serve as the primary contact and subject matter expert on all SOM space and occupancy information. This position actively participates in strategic space planning and presents SoM space analyses and recommendations to various senior leadership space and planning committees. This position is a hybrid position. Duties include : Serve as primary contact and subject matter expert on all SoM space and occupancy information. Serve as subject matter expert for all SoM space data classification, coding, and reporting requests. Create and perform space planning scenario modeling for large SoM planning projects for existing and proposed future locations. Contribute to Stanford Medicine integrated space planning scenario modeling for joint planning projects for existing and proposed future locations. Maintain high level schedule of large planning projects and critical dependencies. Develop and implement a consistent and continuous process across SoM to input and maintain accurate and complete space data in our Stanford University (SU) space data systems. Design and utilize space data reporting to inform in strategic space planning. Utilize reporting to effectively communicate and advocate for School of Medicine interests on various space and planning committees. Utilize considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Provide advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Distribute and disseminate reports to applicable agencies, researchers, management, and other internal end-users. Develop and collect data for space metrics and Key Performance Indicators (KPIs) for the monthly Tableau dashboard. Analyze data for key strengths and trends. Lead annual Space Data Certification process across SoM. Facilitate the annual Inter-entity Reporting process representing SoM. Create tracking system to track all space MOU's involving SU/Stanford Medicine entities. Manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Effectively manage multiple requests from internal and external customers. Lead and supervise the OFPM Space Management Team by managing their professional development and providing strategic direction for driving the implementation of the Space Management team goals. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Experience with space management and/or space planning required. Able to develop insightful business intelligence reports (KPI's, metrics, ad hoc queries) and/or dashboards. Able to examine data problem areas, find process redundancies, and automate or standardize the data collection process. Must have experience in space database management (e.g. Archibus). Advanced Microsoft Office (Excel, PowerPoint, etc.) skills. Experience in AutoCAD, Excel Visual Basic, PLSQL, Oracle Database, OBIEE, Tableau. Have a broad understanding of system integration, database structures, and table field mappings. Previous Stanford or University experience a plus. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Advanced ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Advanced experience utilizing complex statistical tools and techniques. Considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of complexity, quality, and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Effectively manage multiple requests from internal and external customers. Demonstrated experience in leading projects with users/clients. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. Occasionally write by hand, twist, bend, stoop and squat. Rarely stand, walk, reach or work above shoulders and use a telephone. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours during peak business cycles. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $132,498 to $157,989 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a positionupon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information Schedule: Full-time Job Code: 4746 Employee Status: Regular Grade: J Requisition ID: 107709 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Space Data Manager School of Medicine, Stanford, California, United States Information Analytics Dec 18, 2025 Post Date 107709 Requisition # The mission of the Office of Facilities Planning and Management (OFPM) in the School of Medicine is to plan for and manage the facilities needs of the School of Medicine community in the areas of facilities operations, capital planning and budgeting, projects from programming through occupancy, space inventory, and facility assets. In pursuit of this mission, the department is seeking a Space Data Manager who will oversee and manage space data analytics and reporting for the School of Medicine (SoM). The Space Data Manager will serve as the primary contact and subject matter expert on all SOM space and occupancy information. This position actively participates in strategic space planning and presents SoM space analyses and recommendations to various senior leadership space and planning committees. This position is a hybrid position. Duties include : Serve as primary contact and subject matter expert on all SoM space and occupancy information. Serve as subject matter expert for all SoM space data classification, coding, and reporting requests. Create and perform space planning scenario modeling for large SoM planning projects for existing and proposed future locations. Contribute to Stanford Medicine integrated space planning scenario modeling for joint planning projects for existing and proposed future locations. Maintain high level schedule of large planning projects and critical dependencies. Develop and implement a consistent and continuous process across SoM to input and maintain accurate and complete space data in our Stanford University (SU) space data systems. Design and utilize space data reporting to inform in strategic space planning. Utilize reporting to effectively communicate and advocate for School of Medicine interests on various space and planning committees. Utilize considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Provide advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Distribute and disseminate reports to applicable agencies, researchers, management, and other internal end-users. Develop and collect data for space metrics and Key Performance Indicators (KPIs) for the monthly Tableau dashboard. Analyze data for key strengths and trends. Lead annual Space Data Certification process across SoM. Facilitate the annual Inter-entity Reporting process representing SoM. Create tracking system to track all space MOU's involving SU/Stanford Medicine entities. Manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Effectively manage multiple requests from internal and external customers. Lead and supervise the OFPM Space Management Team by managing their professional development and providing strategic direction for driving the implementation of the Space Management team goals. - Other duties may also be assigned. DESIRED QUALIFICATIONS: Experience with space management and/or space planning required. Able to develop insightful business intelligence reports (KPI's, metrics, ad hoc queries) and/or dashboards. Able to examine data problem areas, find process redundancies, and automate or standardize the data collection process. Must have experience in space database management (e.g. Archibus). Advanced Microsoft Office (Excel, PowerPoint, etc.) skills. Experience in AutoCAD, Excel Visual Basic, PLSQL, Oracle Database, OBIEE, Tableau. Have a broad understanding of system integration, database structures, and table field mappings. Previous Stanford or University experience a plus. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Advanced experience applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Advanced ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Advanced experience utilizing complex statistical tools and techniques. Considerable interpersonal and communication skills to effectively convey findings and recommendations to a wide variety of audiences and influence senior leadership & faculty in key decisions. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of complexity, quality, and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Effectively manage multiple requests from internal and external customers. Demonstrated experience in leading projects with users/clients. PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, sort, file paperwork or parts, grasp lightly, and use fine manipulation, lift, carry, push and pull objects that weigh 10 pounds or less. Occasionally write by hand, twist, bend, stoop and squat. Rarely stand, walk, reach or work above shoulders and use a telephone. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours during peak business cycles. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $132,498 to $157,989 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a positionupon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information Schedule: Full-time Job Code: 4746 Employee Status: Regular Grade: J Requisition ID: 107709 Work Arrangement : Hybrid Eligible
Work type: Non-Tenure Line (Research), University Tenure Line Location: Stanford University Categories: School of Medicine The Department of Radiology at Stanford School of Medicine is searching for a Division Chief of Integrative Biomedical Imaging Informatics at Stanford (IBIIS). This full-time appointment will be in the University Tenure Line or Non-Tenure Line (Research) at the Associate or Full Professor rank. The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching. The major criterion for appointment for faculty in the Non-Tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists. Faculty rank and line will be determined by the qualifications and experience of the successful candidate. IBIIS faculty focus on pioneering, translating, teaching and disseminating Artificial Intelligence and other methods in data science that integrate imaging, clinical, and -omics data to better understand the molecular mechanisms of diseases and to improve the accuracy and efficiency of clinical care. In addition to contributions in their own specific research areas, the Division Chief of IBIIS will be responsible for the research and teaching activities of the Division. The ideal candidate will have demonstrated scholarly achievement in her/his area of expertise, have mentored junior faculty, demonstrated teaching excellence, and have a significant track-record with NIH, industrial, and/or other funding. Exceptional leadership and administrative skills are also required. The qualified candidate will have a PhD and/or MD and/or equivalent degree with a background in computer science, engineering, physics, biomedical informatics, data science, imaging science, or another related field. We seek motivated individuals who are committed not only to excellence in research, but also to training the next generation of researchers. Please apply online at url here by submitting your curriculum vitae and a candidate statement (no longer than 3 pages) describing your research, teaching, and administrative activities and interests. The Radiology Department, School of Medicine and Stanford University value faculty who will help foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these ideals. Additional information about Stanford's IDEAL initiative may be found here: . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions. Salary Range: The expected base pay range for this position is: Associate Professor: $218,000 - $242,000 Professor: $266,000 - $366,000 This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits , including housing assistance , please contact the hiring department. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs. Please reach out to Stanford Radiology Faculty Affairs with any questions at . Advertised: 11 Jun 2024 4:30 PM Pacific Daylight Time Applications close: Whatsapp Facebook LinkedIn Email App if (typeof SocialShareKit != 'undefined') SocialShareKit.init( forceInit: true, reinitialize: true, selector: '.social-share-kit .ssk' );
01/14/2026
Full time
Work type: Non-Tenure Line (Research), University Tenure Line Location: Stanford University Categories: School of Medicine The Department of Radiology at Stanford School of Medicine is searching for a Division Chief of Integrative Biomedical Imaging Informatics at Stanford (IBIIS). This full-time appointment will be in the University Tenure Line or Non-Tenure Line (Research) at the Associate or Full Professor rank. The predominant criterion for appointment in the University Tenure Line is a major commitment to research and teaching. The major criterion for appointment for faculty in the Non-Tenure Line (Research) is evidence of high-level performance as a researcher for whose special knowledge a programmatic need exists. Faculty rank and line will be determined by the qualifications and experience of the successful candidate. IBIIS faculty focus on pioneering, translating, teaching and disseminating Artificial Intelligence and other methods in data science that integrate imaging, clinical, and -omics data to better understand the molecular mechanisms of diseases and to improve the accuracy and efficiency of clinical care. In addition to contributions in their own specific research areas, the Division Chief of IBIIS will be responsible for the research and teaching activities of the Division. The ideal candidate will have demonstrated scholarly achievement in her/his area of expertise, have mentored junior faculty, demonstrated teaching excellence, and have a significant track-record with NIH, industrial, and/or other funding. Exceptional leadership and administrative skills are also required. The qualified candidate will have a PhD and/or MD and/or equivalent degree with a background in computer science, engineering, physics, biomedical informatics, data science, imaging science, or another related field. We seek motivated individuals who are committed not only to excellence in research, but also to training the next generation of researchers. Please apply online at url here by submitting your curriculum vitae and a candidate statement (no longer than 3 pages) describing your research, teaching, and administrative activities and interests. The Radiology Department, School of Medicine and Stanford University value faculty who will help foster an inclusive academic environment for colleagues, students, and staff with a wide range of backgrounds, identities, and outlooks. Candidates may choose to include as part of their research and teaching statements a brief discussion about how their work and experience will further these ideals. Additional information about Stanford's IDEAL initiative may be found here: . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford also welcomes applications from others who would bring additional dimensions to the University's research, teaching and clinical missions. Salary Range: The expected base pay range for this position is: Associate Professor: $218,000 - $242,000 Professor: $266,000 - $366,000 This pay range reflects base pay, which is based on faculty rank and years in rank. It does not include all components of the School of Medicine's faculty compensation program or pay from participation in departmental incentive compensation programs. For more information about compensation and our wide-range of benefits , including housing assistance , please contact the hiring department. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years in rank, training, and field or discipline; internal equity; and external market pay for comparable jobs. Please reach out to Stanford Radiology Faculty Affairs with any questions at . Advertised: 11 Jun 2024 4:30 PM Pacific Daylight Time Applications close: Whatsapp Facebook LinkedIn Email App if (typeof SocialShareKit != 'undefined') SocialShareKit.init( forceInit: true, reinitialize: true, selector: '.social-share-kit .ssk' );
AI Data Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107222 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Data Engineering & EDA: Build and optimize data ingestion, transformation, and quality pipelines. Conduct exploratory data analysis (EDA) to surface patterns, anomalies, and insights that inform AI models and decision-making. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Enterprise Data Understanding: Strong knowledge of enterprise systems (ServiceNow, Salesforce, Oracle Financials, etc.) and how to extract, transform, and analyze data from them. Data Engineering & Analysis: Proficiency in building data pipelines, conducting exploratory data analysis (EDA), profiling datasets, and preparing features for ML/AI use cases. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary), with experience in SQL and one or more general-purpose languages (Java, Node.js, or TypeScript). Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, and CrewAI/AutoGen Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Advanced Data Techniques: Hybrid search/reranking, synthetic data generation, provenance/watermarking, dataset drift detection. Certifications and Licenses: Required: One or more certifications in Google, AWS, or Azure AI/ML, or equivalent demonstrable portfolio of production AI/data systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. . click apply for full job details
01/14/2026
Full time
AI Data Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Sep 08, 2025 Post Date 107222 Requisition # Job Purpose Are you an experienced AI/GenAI engineer who loves shipping real systems with a passion for working with enterprise data? Join Stanford's Enterprise Technology team to design, implement, and support AI solutions across university use cases. In this role, you will influence strategic direction, requirements, and architecture for AI driven information systems, incorporating new capabilities (LLMs, RAG, agentic frameworks, MLOps) to improve workflow, efficiency, and decision-making. You may serve as the technical lead for specific AI tracks and interrelated applications. This role blends hands-on engineering with mentorship and thought leadership. You will prototype and productionize-presenting proofs of concept, demoing solutions to stakeholders, and partnering with project managers, technical managers, architects, security, infrastructure, and application teams (ServiceNow, Salesforce, Oracle Financials, etc.) Core Duties: AI/ML System Implementation & Integration: Translate requirements into well-engineered components (pipelines, vector stores, prompt/agent logic, evaluation hooks) and implement them in partnership with the platform/architecture team. Data Engineering & EDA: Build and optimize data ingestion, transformation, and quality pipelines. Conduct exploratory data analysis (EDA) to surface patterns, anomalies, and insights that inform AI models and decision-making. Application & Agent Development: Build and maintain LLM-based agents/services that securely call enterprise tools (ServiceNow, Salesforce, Oracle, etc.) using approved APIs and tool-calling frameworks. Create lightweight internal SDKs/utilities where needed. RAG & Search Enablement: Configure and optimize RAG workflows (chunking, embeddings, metadata filters) and integrate with existing search/vector infrastructure-escalating architecture changes to designated architects. MLOps & SDLC Practices: Follow and improve team standards for CI/CD, testing, prompt/model versioning, and observability. Own feature delivery through dev/test/prod, coordinating with release managers. Governance, Security & Compliance: Apply established guardrails (PII redaction, policy checks, access controls). Partner with InfoSec and architects to close gaps; document decisions and risks. Metrics & Reporting: Instrument services with KPIs (latency, cost, accuracy/quality) and build lightweight dashboards. Deep BI/reporting. Documentation & Communication: Write clear technical docs (APIs, workflows, runbooks), user stories, and acceptance criteria. Support and sometimes lead UAT/test activities. Collaboration & Mentorship: Facilitate working sessions with stakeholders; mentor junior engineers through code reviews and pair programming; provide concise updates and risk flags. Education & Experience: Bachelor's degree and eight years of relevant experience or a combination of education and relevant experience. Required Knowledge, Skills, and Abilities: Agent/Agentic Framework Experience: Built and shipped at least one production LLM agent or agentic workflow using frameworks such as LangGraph, LangChain, CrewAI/AutoGen, Google Agent Builder/Vertex AI Agents (or equivalent). Able to explain tool selection, orchestration logic, and post deployment support. Proven Delivery: Implemented 3+ AI/ML projects and 2+ GenAI/LLM projects in production, with operational support (monitoring, tuning, incident response). Projects should serve sizable user populations and demonstrate measurable efficiency gains. Enterprise Data Understanding: Strong knowledge of enterprise systems (ServiceNow, Salesforce, Oracle Financials, etc.) and how to extract, transform, and analyze data from them. Data Engineering & Analysis: Proficiency in building data pipelines, conducting exploratory data analysis (EDA), profiling datasets, and preparing features for ML/AI use cases. Strong understanding of AI/ML concepts (LLMs/transformers and classical ML) and experience designing, developing, testing, and deploying AI-driven applications. Programming Expertise: Python (primary), with experience in SQL and one or more general-purpose languages (Java, Node.js, or TypeScript). Experience with cloud AI stacks (e.g., Google Vertex AI, AWS Bedrock, Azure OpenAI) and vector/search technologies (Pinecone, Elastic/OpenSearch, FAISS, Milvus, etc.). Knowledge of data design/architecture, relational and NoSQL databases, and data modeling. Thorough understanding of SDLC, MLOps, and quality control practices. Ability to define/solve logical problems for highly technical applications; strong problem-solving and systematic troubleshooting skills. Excellent communication, listening, negotiation, and conflict resolution skills; ability to bridge functional and technical resources. Desired Knowledge, Skills, and Abilities: MLOps Tooling: MLflow, Kubeflow, Vertex Pipelines, SageMaker Pipelines; LangSmith/PromptLayer/Weights & Biases. Open Source Savvy: Experience working with, customizing, and improving open-source solutions; comfortable contributing fixes/features upstream. Rapid Tech Adoption: Demonstrated ability to pick up a new technology/framework quickly and deliver production value with it. GenAI Frameworks: LangChain, LlamaIndex, DSPy, Haystack, LangGraph, Agent Engine, Google ADK, AWS AgentCore, and CrewAI/AutoGen Security & Governance: Implementing AI guardrails, red-teaming, and policy enforcement frameworks. Enterprise Integrations: ServiceNow, Salesforce, Oracle Financials, or others. UI Development: React/Next.js/Tailwind for internal tools. Prompt engineering at scale: Structured prompts (JSON/function-calling), templates, version control; automated/offline & online evals (rubrics, hallucination/bias checks, A/B tests, golden sets). Parameter efficient fine tuning (LoRA/QLoRA/adapters), supervised instruction tuning; hosting open weight models (Llama/Mistral/Qwen) with vLLM/TGI/Ollama. Safety/guardrails frameworks (Guardrails.ai, NeMo Guardrails, Azure/AWS safety filters) and jailbreak/drift detection. Telemetry & governance: prompt/model drift monitoring, policy as code, audit logging, red teaming playbooks. Advanced Data Techniques: Hybrid search/reranking, synthetic data generation, provenance/watermarking, dataset drift detection. Certifications and Licenses: Required: One or more certifications in Google, AWS, or Azure AI/ML, or equivalent demonstrable portfolio of production AI/data systems. Physical Requirements : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Working Conditions: May work extended hours, evenings, and weekends. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to stay in sync with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in Stanford's Administrative Guide, . The expected pay range for this position is $169,728 to $190,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You: Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. . click apply for full job details
Sr. Oracle Fusion Developer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Oct 07, 2025 Post Date 107471 Requisition # JOB PURPOSE : University IT (UIT), part of the Business Affairs organization at Stanford University, is dedicated to delivering world-class service and technological solutions to advance research, teaching and learning, administration, and healthcare. UIT is embarking on a long-term strategy to plan, replace, and implement new cloud-based solutions for several enterprise-wide systems. UIT seeks an experienced Senior Oracle Fusion Cloud Developer to support the University's cloud-based Human Capital Management (HCM). The Senior Oracle Fusion Cloud Developer will be responsible for providing technical solutions for functionality within Oracle Fusion Cloud HCM application using Oracle PaaS and other related technologies. The Senior Oracle Fusion Cloud Developer will perform the most advanced project and analytical work ensuring optimal support of the Oracle HCM Cloud suite. CORE DUTIES : Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently. Oversee testing, debugging, change control, and documentation for major projects. Supervise professional staff, as necessary, working on all phases of application development projects. Engage in long-term strategic planning. Define complex application development administration and programming standards. Oversee the support, maintenance, operation, and upgrades of applications. Troubleshoot and resolve complex technical problems. Review the physical design of existing systems for optimizing performance. Lead projects, as necessary, for special systems and application development in areas of complex problems. Work with other technical professionals to develop standards and implement best practices. MINIMUM REQUIREMENTS : Education & Experience : Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities : Minimum 5 or more years of experience with Oracle Fusion Cloud HCM. Functional understanding of Oracle HCM applications (Core HR, Payroll, Compensation, and Performance Management, etc.). Experience in developing extensions for Oracle Fusion Cloud HCM using Oracle Visual Builder Cloud service. Proficient in Fast Formulas, Journeys, Extensible and Descriptive Flex fields. Experience with Oracle Business Process Management Worklist Application including configuring/creating/modifying BPM workflows. Oracle Fusion Cloud applications development experience using web services (SOAP/REST). Ability to develop and maintain interfaces between Oracle Fusion Cloud and third party systems using HCM Extracts and BI Publisher. Ability to develop and maintain file based integrations (FBDI) between third-party systems and Oracle Fusion Cloud using HDL and HSDL. Expert level experience in writing complex SQL queries, SQL tuning and database concepts. Experience configuring setups, personalizations in sandbox and migrating to production environments. Provides technical/development leadership on strategic Oracle Cloud projects. Strong ability to translate business requirements into technical designs and requirements. Monitors implementation activity to ensure best practices and design principles are upheld. Ensures implementation solutions support architecture objectives (availability, scalability, performance, security, etc.), as appropriate. Strong understanding of overall project and system implementation methodology, specifically how it relates to the development life cycle. Ability to select, adapt, and effectively use a variety of programming methods. Ability to quickly learn and adapt to new technologies and programming tools. Thorough understanding of all aspects of software development life cycle and quality control practices. Strong communication skills with both technical and non-technical team members. The expected pay range for this position is $169,728 to $175,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107471 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Sr. Oracle Fusion Developer Business Affairs: University IT (UIT), Redwood City, California, United States Information Technology Services Oct 07, 2025 Post Date 107471 Requisition # JOB PURPOSE : University IT (UIT), part of the Business Affairs organization at Stanford University, is dedicated to delivering world-class service and technological solutions to advance research, teaching and learning, administration, and healthcare. UIT is embarking on a long-term strategy to plan, replace, and implement new cloud-based solutions for several enterprise-wide systems. UIT seeks an experienced Senior Oracle Fusion Cloud Developer to support the University's cloud-based Human Capital Management (HCM). The Senior Oracle Fusion Cloud Developer will be responsible for providing technical solutions for functionality within Oracle Fusion Cloud HCM application using Oracle PaaS and other related technologies. The Senior Oracle Fusion Cloud Developer will perform the most advanced project and analytical work ensuring optimal support of the Oracle HCM Cloud suite. CORE DUTIES : Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently. Oversee testing, debugging, change control, and documentation for major projects. Supervise professional staff, as necessary, working on all phases of application development projects. Engage in long-term strategic planning. Define complex application development administration and programming standards. Oversee the support, maintenance, operation, and upgrades of applications. Troubleshoot and resolve complex technical problems. Review the physical design of existing systems for optimizing performance. Lead projects, as necessary, for special systems and application development in areas of complex problems. Work with other technical professionals to develop standards and implement best practices. MINIMUM REQUIREMENTS : Education & Experience : Bachelor's degree and eight years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills and Abilities : Minimum 5 or more years of experience with Oracle Fusion Cloud HCM. Functional understanding of Oracle HCM applications (Core HR, Payroll, Compensation, and Performance Management, etc.). Experience in developing extensions for Oracle Fusion Cloud HCM using Oracle Visual Builder Cloud service. Proficient in Fast Formulas, Journeys, Extensible and Descriptive Flex fields. Experience with Oracle Business Process Management Worklist Application including configuring/creating/modifying BPM workflows. Oracle Fusion Cloud applications development experience using web services (SOAP/REST). Ability to develop and maintain interfaces between Oracle Fusion Cloud and third party systems using HCM Extracts and BI Publisher. Ability to develop and maintain file based integrations (FBDI) between third-party systems and Oracle Fusion Cloud using HDL and HSDL. Expert level experience in writing complex SQL queries, SQL tuning and database concepts. Experience configuring setups, personalizations in sandbox and migrating to production environments. Provides technical/development leadership on strategic Oracle Cloud projects. Strong ability to translate business requirements into technical designs and requirements. Monitors implementation activity to ensure best practices and design principles are upheld. Ensures implementation solutions support architecture objectives (availability, scalability, performance, security, etc.), as appropriate. Strong understanding of overall project and system implementation methodology, specifically how it relates to the development life cycle. Ability to select, adapt, and effectively use a variety of programming methods. Ability to quickly learn and adapt to new technologies and programming tools. Thorough understanding of all aspects of software development life cycle and quality control practices. Strong communication skills with both technical and non-technical team members. The expected pay range for this position is $169,728 to $175,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4823 Employee Status: Regular Grade: L Requisition ID: 107471 Work Arrangement : Hybrid Eligible
Data Scientist Dean of Research, Stanford, California, United States Information Analytics Dec 15, 2025 Post Date 107927 Requisition #SCHOOL/UNIT DESCRIPTION: Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the Knight Initiative in Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging and brain resilience. Diseases and associated issues of cognitive decline like Alzheimer's, Parkinson's, dementia, and related ailments are increasing with our rapidly aging global population. Stanford seeks to advance a new era of brain science focused on accelerating the fundamental understanding of the aging brain, both the biological causes of neurodegeneration and how to increase brain resilience throughout the lifespan. Our community ranges broadly, consisting of esteemed alumni, world class faculty and students, dynamic staff and administrators and include some of the world's most successful leaders in neuroscience. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish its mission conducting cutting-edge research with the objective of formulating innovative solutions to brain-aging, disease, neurodegeneration, dementia and resilience. POSITION SUMMARY: We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for managing and analyzing large sets of multi-omics data with a focus on human brain aging. They will work closely with the research team to identify patterns and correlations in the data related to brain aging, develop and implement data analysis pipelines and workflows, generate visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods, identifying and resolving data quality issues, and collaborating with various stakeholders. They will need to have a PhD or Master's degree in a relevant field, strong programming skills, experience with data management systems and visualization tools, and excellent communication and presentation skills. This position is a two-year fixed-term appointment, with possibility of renewal based on programmatic need and funding availability, with a primary work site on Stanford University's main campus. CORE DUTIES: Collect, manage and clean datasets. Manage and analyze large sets of data from various sources, including genomics, transcriptomics, proteomics, and metabolomics. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Utilize and fine-tune genomic foundation models on aging data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with faculty and research staff on data collection and analysis methods. Provide documentation based on audit and reporting criteria to investigators and research staff. Communicate with government officials, grant agencies and industry representatives. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Excellent communication and presentation skills. Ability to prioritize workload. PREFERRED QUALIFICATIONS: PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics Strong programming skills, including experience with R or Python Experience with multi-omics data analysis and/or experience with brain aging research Strong understanding of statistical methods and machine learning techniques Experience with building genomics foundation models, using HPC and cloud computing platforms such as AWS or Azure is a plus PHYSICAL REQUIREMENTS : Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. Rarely kneel/crawl, climb (ladders, scaffolds, or other). Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . WORKING CONDITIONS: May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. Some work may be performed in a laboratory setting. May be exposed to Allergens/Biohazards/Chemicals, confined spaces, unusual work hours or routine overtime and/or inclement weather. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Fixed-Term Grade: G Requisition ID: 107927 Work Arrangement : On Site
01/14/2026
Full time
Data Scientist Dean of Research, Stanford, California, United States Information Analytics Dec 15, 2025 Post Date 107927 Requisition #SCHOOL/UNIT DESCRIPTION: Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the Knight Initiative in Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging and brain resilience. Diseases and associated issues of cognitive decline like Alzheimer's, Parkinson's, dementia, and related ailments are increasing with our rapidly aging global population. Stanford seeks to advance a new era of brain science focused on accelerating the fundamental understanding of the aging brain, both the biological causes of neurodegeneration and how to increase brain resilience throughout the lifespan. Our community ranges broadly, consisting of esteemed alumni, world class faculty and students, dynamic staff and administrators and include some of the world's most successful leaders in neuroscience. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish its mission conducting cutting-edge research with the objective of formulating innovative solutions to brain-aging, disease, neurodegeneration, dementia and resilience. POSITION SUMMARY: We are seeking a highly skilled and experienced Data Scientist to join our team. The successful candidate will be responsible for managing and analyzing large sets of multi-omics data with a focus on human brain aging. They will work closely with the research team to identify patterns and correlations in the data related to brain aging, develop and implement data analysis pipelines and workflows, generate visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods, identifying and resolving data quality issues, and collaborating with various stakeholders. They will need to have a PhD or Master's degree in a relevant field, strong programming skills, experience with data management systems and visualization tools, and excellent communication and presentation skills. This position is a two-year fixed-term appointment, with possibility of renewal based on programmatic need and funding availability, with a primary work site on Stanford University's main campus. CORE DUTIES: Collect, manage and clean datasets. Manage and analyze large sets of data from various sources, including genomics, transcriptomics, proteomics, and metabolomics. Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. Utilize and fine-tune genomic foundation models on aging data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with faculty and research staff on data collection and analysis methods. Provide documentation based on audit and reporting criteria to investigators and research staff. Communicate with government officials, grant agencies and industry representatives. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. Knowledge, Skills and Abilities: Substantial experience with MS Office and analytical programs. Strong writing and analytical skills. Excellent communication and presentation skills. Ability to prioritize workload. PREFERRED QUALIFICATIONS: PhD or Master's degree in a relevant field such as data science, bioinformatics, computational biology, or statistics Strong programming skills, including experience with R or Python Experience with multi-omics data analysis and/or experience with brain aging research Strong understanding of statistical methods and machine learning techniques Experience with building genomics foundation models, using HPC and cloud computing platforms such as AWS or Azure is a plus PHYSICAL REQUIREMENTS : Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. Rarely kneel/crawl, climb (ladders, scaffolds, or other). Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . WORKING CONDITIONS: May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. Some work may be performed in a laboratory setting. May be exposed to Allergens/Biohazards/Chemicals, confined spaces, unusual work hours or routine overtime and/or inclement weather. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Fixed-Term Grade: G Requisition ID: 107927 Work Arrangement : On Site
Software Dvlpr 1 School of Medicine, Stanford, California, United States Information Technology Services Nov 19, 2025 Post Date 107767 Requisition # Stanford University is seeking a Software Developer 1 to perform difficult or complex programming and software development work in the field of single-cell analysis. This work will involve the unification, development, and maintenance of software tools that we have developed and are widely used across the globe for processing and understanding single-cell data. The successful applicant is expected to contribute to all phases of the project, including conception, design, development, implementation, and maintenance. These tools are written in R, C++, and Python and require an in-depth understanding of software development and a reasonable understanding or at least genuine interest in single-cell biology and genomics. Duties include: Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently. Working within R within their esoteric forms of object-oriented programming, as well as a highly templated C/C++ library involving heavy usage of CPU intrinsics. Oversee testing, debugging, change control, and documentation for major projects. Maintenance of software on GitHub repositories, including using software development best practices and responding to user queries through Issues and Discussions. Implement rigorous programming standards for documentation and long-term re-use/interpretability of code. Work with other lab members, as necessary, on all phases of software development. Engage in long-term strategic planning. Oversee the support, maintenance, operation, and upgrades of applications. Develop solutions for portability of software across users and systems. Troubleshoot and resolve complex technical problems. Review the physical design of existing systems for optimizing performance. - Other duties may also be assigned DESIRED QUALIFICATIONS: Experience working with large scale open-source codebases Experience developing and working with linear algebra packages (LAPACK, BLAS, ATLAS, Eigen) Experience working in high-performance computing Experience, or at least surface level knowledge/interest of single cell biology and analysis. Previous work experience within single-cell biology EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Current knowledge of latest software and design standards. Ability to define and solve logical problems for technical applications. Knowledge of and ability to select, adapt, and effectively use a variety of programming methods. Ability to recognize and recommend needed changes in user and/or operations procedures. Knowledge of software engineering principles. Strong knowledge of at least one programming language (Ideally C++ along with R and Python) PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours, evening and weekends. The expected pay range for this position is $107,423 to $133,600 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Additional Information Schedule: Full-time Job Code: 4821 Employee Status: Regular Grade: I Requisition ID: 107767 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Software Dvlpr 1 School of Medicine, Stanford, California, United States Information Technology Services Nov 19, 2025 Post Date 107767 Requisition # Stanford University is seeking a Software Developer 1 to perform difficult or complex programming and software development work in the field of single-cell analysis. This work will involve the unification, development, and maintenance of software tools that we have developed and are widely used across the globe for processing and understanding single-cell data. The successful applicant is expected to contribute to all phases of the project, including conception, design, development, implementation, and maintenance. These tools are written in R, C++, and Python and require an in-depth understanding of software development and a reasonable understanding or at least genuine interest in single-cell biology and genomics. Duties include: Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently. Working within R within their esoteric forms of object-oriented programming, as well as a highly templated C/C++ library involving heavy usage of CPU intrinsics. Oversee testing, debugging, change control, and documentation for major projects. Maintenance of software on GitHub repositories, including using software development best practices and responding to user queries through Issues and Discussions. Implement rigorous programming standards for documentation and long-term re-use/interpretability of code. Work with other lab members, as necessary, on all phases of software development. Engage in long-term strategic planning. Oversee the support, maintenance, operation, and upgrades of applications. Develop solutions for portability of software across users and systems. Troubleshoot and resolve complex technical problems. Review the physical design of existing systems for optimizing performance. - Other duties may also be assigned DESIRED QUALIFICATIONS: Experience working with large scale open-source codebases Experience developing and working with linear algebra packages (LAPACK, BLAS, ATLAS, Eigen) Experience working in high-performance computing Experience, or at least surface level knowledge/interest of single cell biology and analysis. Previous work experience within single-cell biology EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Current knowledge of latest software and design standards. Ability to define and solve logical problems for technical applications. Knowledge of and ability to select, adapt, and effectively use a variety of programming methods. Ability to recognize and recommend needed changes in user and/or operations procedures. Knowledge of software engineering principles. Strong knowledge of at least one programming language (Ideally C++ along with R and Python) PHYSICAL REQUIREMENTS : Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May work extended hours, evening and weekends. The expected pay range for this position is $107,423 to $133,600 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Additional Information Schedule: Full-time Job Code: 4821 Employee Status: Regular Grade: I Requisition ID: 107767 Work Arrangement : Hybrid Eligible
Bioinformatics Engineer II (18 Month Fixed-Term) (Hybrid Opportunity) School of Medicine, Stanford, California, United States Information Analytics Oct 14, 2025 Post Date 107526 Requisition # The Department of Medicine , Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer II to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Ashley's research focuses on applying genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Wheeler's research centers on integrating large-scale molecular and clinical data to understand the genetic basis of diseases and to develop novel therapeutic strategies. In this role, you will focus on genome, epigenome, and transcriptome (GET) analyses (specifically WGS, ATAC-seq, and RNA-seq) running the pipelines and tools that convert raw sequencing data into clean, analysis-ready results for the consortium. You will architect and operate scalable workflows that adhere to best practices, including WGS variant calling and joint genotyping, RNA-seq quantification and differential expression, and ATAC-seq peak calling and differential accessibility. You will adapt rigorous QC frameworks across modalities; produce integrated multi-omics analyses (e.g., linking genetic variation, chromatin accessibility, and gene expression through eQTL/caQTL/colocalization); and deliver clear visualizations, genome browser tracks, and interactive dashboards that enable collaborative interpretation across teams. Your work will span data engineering and software development: building reproducible pipelines with Nextflow and/or WDL/Cromwell, containerizing and testing them for reliable deployment on cloud and HPC environments; leveraging GCP services such as Cloud Storage and BigQuery; and designing robust schemas for omics metadata and results. You will apply software engineering best practices (version control, code review, automated testing, and documentation) while implementing data governance aligned with FAIR principles and secure handling of controlled-access human genomic data. As a key contributor to our public-facing portal ( ), you will help push the boundaries of biomedical data analytics to accelerate discovery and translation. You will collaborate closely with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust computational analyses and to communicate findings in reports, presentations, and publications. Working within our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. This is an 18-month fixed term position. This is a hybrid eligible position. Why Join Us? Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: Transcriptomics and Gene Expression Analysis: Comprehensive RNA-seq workflows including read alignment (STAR, HISAT2), quantification (Salmon, Kallisto), QC (FastQC, MultiQC, RSeQC, Picard), normalization and differential expression (DESeq2, edgeR, limma), and pathway enrichment. Isoform analysis (StringTie) and fusion detection (STAR-Fusion) are a plus. Advanced Genomics Data Analysis Expertise: Extensive experience with WGS data from raw FASTQ through variant calling, joint genotyping, annotation, cohort-level QC, and interpretation. Proficiency with BWA-MEM/BWA, GATK Best Practices (BQSR, HaplotypeCaller, joint calling, VQSR), DeepVariant, bcftools, and scalable VCF/BCF/CRAM handling. Structural and Copy Number Variation: Experience with SV/CNV calling and QC (e.g., Manta, Delly, LUMPY, CNVnator), sample-level QC (coverage, duplication, contamination via VerifyBamID/Peddy/Somalier), and cohort metrics (Ti/Tv, call rate, Hardy-Weinberg). Epigenomics and Chromatin Accessibility Analysis: Expertise in ATAC-seq processing and analysis, including alignment (BWA/Bowtie2), Tn5 shifting, peak calling (MACS2), replicate concordance (IDR), QC metrics (FRiP, TSS enrichment, nucleosome signal), differential accessibility (DiffBind/DESeq2), footprinting (HINT-ATAC), motif enrichment (HOMER/MEME), and browser tracks (bigWig/bigBed for IGV/UCSC). Regulatory element annotation using ENCODE/Roadmap resources. Multi-omics Data Integration: Experience integrating WGS, ATAC-seq, and RNA-seq to identify regulatory relationships (eQTL/aseQTL/caQTL, colocalization), linking chromatin accessibility to gene expression and variant effects. Advanced Python and R for Genomics: Deep proficiency in Python and R/Bioconductor with strong statistical and reproducible analysis skills. Genomics Workflow Development: Proven experience designing, testing, and deploying complex workflows using Nextflow and/or WDL/Cromwell (or Snakemake) in cloud or HPC environments, with containerization (Docker, Singularity) and CI/CD for reproducibility. Specialized Cloud and Database Skills: Hands-on experience with GCP (Cloud Storage, BigQuery), and genomics platforms (Terra, AnVIL). SQL skills and experience designing schemas for omics metadata/results; familiarity with gnomAD, ClinVar, Ensembl/RefSeq, dbSNP, UCSC. Genome Browser and Visualization Expertise: Proficiency creating custom track hubs and sessions for IGV/UCSC; ability to produce publication-quality visualizations and interactive dashboards for large-scale genomics data. Software Engineering Best Practices: Version control (Git/GitHub), code review, issue tracking, semantic versioning, packaging (setuptools/Poetry), automated testing (pytest), and comprehensive documentation (Sphinx/MkDocs). Data Governance and FAIR Principles: Demonstrated experience with data lineage, provenance, audit trails, and adherence to FAIR; secure handling of controlled-access human genomic data (HIPAA/IRB compliance, DUAs), and submissions to dbGaP/GEO/SRA. Cross-functional Collaboration and Communication: Proven ability to work with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust, actionable computational analyses. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORKING STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures . click apply for full job details
01/14/2026
Full time
Bioinformatics Engineer II (18 Month Fixed-Term) (Hybrid Opportunity) School of Medicine, Stanford, California, United States Information Analytics Oct 14, 2025 Post Date 107526 Requisition # The Department of Medicine , Division of Cardiovascular Medicine at Stanford University is seeking a talented Bioinformatics Engineer II to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). As part of this groundbreaking national research consortium, you will help unravel the molecular mechanisms underlying the benefits of physical activity. Under the supervision of co-PIs Dr. Euan Ashley and Dr. Matthew Wheeler, you will play a crucial role in shaping the future of personalized exercise science and public health. Dr. Ashley's research focuses on applying genomics and other omics data to improve clinical care, with an emphasis on cardiovascular disease and personalized medicine. Dr. Wheeler's research centers on integrating large-scale molecular and clinical data to understand the genetic basis of diseases and to develop novel therapeutic strategies. In this role, you will focus on genome, epigenome, and transcriptome (GET) analyses (specifically WGS, ATAC-seq, and RNA-seq) running the pipelines and tools that convert raw sequencing data into clean, analysis-ready results for the consortium. You will architect and operate scalable workflows that adhere to best practices, including WGS variant calling and joint genotyping, RNA-seq quantification and differential expression, and ATAC-seq peak calling and differential accessibility. You will adapt rigorous QC frameworks across modalities; produce integrated multi-omics analyses (e.g., linking genetic variation, chromatin accessibility, and gene expression through eQTL/caQTL/colocalization); and deliver clear visualizations, genome browser tracks, and interactive dashboards that enable collaborative interpretation across teams. Your work will span data engineering and software development: building reproducible pipelines with Nextflow and/or WDL/Cromwell, containerizing and testing them for reliable deployment on cloud and HPC environments; leveraging GCP services such as Cloud Storage and BigQuery; and designing robust schemas for omics metadata and results. You will apply software engineering best practices (version control, code review, automated testing, and documentation) while implementing data governance aligned with FAIR principles and secure handling of controlled-access human genomic data. As a key contributor to our public-facing portal ( ), you will help push the boundaries of biomedical data analytics to accelerate discovery and translation. You will collaborate closely with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust computational analyses and to communicate findings in reports, presentations, and publications. Working within our multidisciplinary team, you will be at the forefront of understanding how physical activity preserves and improves health, ultimately making a lasting impact on human well-being. This is an 18-month fixed term position. This is a hybrid eligible position. Why Join Us? Work on a highly exciting and innovative multi-omics project with the potential to revolutionize our understanding of physical activity and health. Be part of a world-class research team at Stanford University, led by Dr. Euan Ashley, a pioneer in personalized medicine Contribute to groundbreaking research with a significant impact on public health and the prevention of diseases. Enjoy a collaborative and stimulating work environment at one of the top universities in the world. If you are a passionate and dedicated professional with the required qualifications and a strong interest in advancing scientific research, we encourage you to apply for this exciting opportunity. Join us in unraveling the mysteries of physical activity and making a lasting impact on human health. A complete application will include a cover letter. Duties include: Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness. Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data. Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others. Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Test prototype software and participate in approval and release process for new software. Provide documentation based on audit and reporting criteria to investigators and research staff. DESIRED QUALIFICATIONS: Transcriptomics and Gene Expression Analysis: Comprehensive RNA-seq workflows including read alignment (STAR, HISAT2), quantification (Salmon, Kallisto), QC (FastQC, MultiQC, RSeQC, Picard), normalization and differential expression (DESeq2, edgeR, limma), and pathway enrichment. Isoform analysis (StringTie) and fusion detection (STAR-Fusion) are a plus. Advanced Genomics Data Analysis Expertise: Extensive experience with WGS data from raw FASTQ through variant calling, joint genotyping, annotation, cohort-level QC, and interpretation. Proficiency with BWA-MEM/BWA, GATK Best Practices (BQSR, HaplotypeCaller, joint calling, VQSR), DeepVariant, bcftools, and scalable VCF/BCF/CRAM handling. Structural and Copy Number Variation: Experience with SV/CNV calling and QC (e.g., Manta, Delly, LUMPY, CNVnator), sample-level QC (coverage, duplication, contamination via VerifyBamID/Peddy/Somalier), and cohort metrics (Ti/Tv, call rate, Hardy-Weinberg). Epigenomics and Chromatin Accessibility Analysis: Expertise in ATAC-seq processing and analysis, including alignment (BWA/Bowtie2), Tn5 shifting, peak calling (MACS2), replicate concordance (IDR), QC metrics (FRiP, TSS enrichment, nucleosome signal), differential accessibility (DiffBind/DESeq2), footprinting (HINT-ATAC), motif enrichment (HOMER/MEME), and browser tracks (bigWig/bigBed for IGV/UCSC). Regulatory element annotation using ENCODE/Roadmap resources. Multi-omics Data Integration: Experience integrating WGS, ATAC-seq, and RNA-seq to identify regulatory relationships (eQTL/aseQTL/caQTL, colocalization), linking chromatin accessibility to gene expression and variant effects. Advanced Python and R for Genomics: Deep proficiency in Python and R/Bioconductor with strong statistical and reproducible analysis skills. Genomics Workflow Development: Proven experience designing, testing, and deploying complex workflows using Nextflow and/or WDL/Cromwell (or Snakemake) in cloud or HPC environments, with containerization (Docker, Singularity) and CI/CD for reproducibility. Specialized Cloud and Database Skills: Hands-on experience with GCP (Cloud Storage, BigQuery), and genomics platforms (Terra, AnVIL). SQL skills and experience designing schemas for omics metadata/results; familiarity with gnomAD, ClinVar, Ensembl/RefSeq, dbSNP, UCSC. Genome Browser and Visualization Expertise: Proficiency creating custom track hubs and sessions for IGV/UCSC; ability to produce publication-quality visualizations and interactive dashboards for large-scale genomics data. Software Engineering Best Practices: Version control (Git/GitHub), code review, issue tracking, semantic versioning, packaging (setuptools/Poetry), automated testing (pytest), and comprehensive documentation (Sphinx/MkDocs). Data Governance and FAIR Principles: Demonstrated experience with data lineage, provenance, audit trails, and adherence to FAIR; secure handling of controlled-access human genomic data (HIPAA/IRB compliance, DUAs), and submissions to dbGaP/GEO/SRA. Cross-functional Collaboration and Communication: Proven ability to work with wet-lab scientists, clinicians, and data engineers to translate biological questions into robust, actionable computational analyses. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs. Excellent writing and analytical skills. Ability to prioritize workload. CERTIFICATIONS & LICENSES: None PHYSICAL REQUIREMENTS : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. Occasionally use a telephone. Rarely writing by hand. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORKING STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures . click apply for full job details
Bioinformatician/Research Data Analyst 1 School of Medicine, Stanford, California, United States Information Analytics Mar 25, 2025 Post Date 106164 Requisition in Stanford's highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design.The Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools.The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science. Duties include: Collect, manage and clean datasets.Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design.Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.Analyze data processes in documentation.Collaborate with faculty and research staff on data collection and analysis methods.Provide documentation based on audit and reporting criteria to investigators and research staff.Communicate with government officials, grant agencies and industry representatives. - Other duties may also be assigned DESIRED QUALIFICATIONS: Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data. Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design.Experience and comfort in working within a UNIX/Linux environment.Background in programming languages such as Python, R, Matlab, Perl.Good communication and team skills and fluency in both spoken and written English.Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.A background in oncology and/or immunology is preferred. Knowledge of Monte Carlo based statistical methods.Background in cancer biology.Familiarity with predictive modeling and machine learning.Skills in machine learning and data analysis software. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs.Strong writing and analytical skills.Ability to prioritize workload. PHYSICAL REQUIREMENTS : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Requisition ID: 106164 Work Arrangement : Hybrid Eligible
01/14/2026
Full time
Bioinformatician/Research Data Analyst 1 School of Medicine, Stanford, California, United States Information Analytics Mar 25, 2025 Post Date 106164 Requisition in Stanford's highly dynamic research environment, The Kalbasi Lab studies the interface between cancer and the immune system to gain new insights that will inform advances in cancer immunotherapy and radiation therapy The lab has a special interest in T cell therapies (CAR-T, TCR-T, TIL) and cytokine therapies, and a disease focus on sarcoma, melanoma and other solid tumors. To achieve this goal, the Kalbasi lab is by necessity versatile and multidisciplinary. The lab integrates cell and protein engineering, T cell immunology, cancer biology, cell signaling, genomics and early phase clinical trials. Each of these approaches has the potential to generate large datasets that require computational analytic approaches. This includes genomic sequencing data (RNA-seq, ATAC-seq, TCR-seq, CITE-seq, whole exome-seq), including bulk and single cell approaches, proteomic data (e.g. phosphoproteomics, cytokine data), and some clinical data. The lab also seeks to employ AI and machine learning approaches for protein design.The Kalbasi Laboratory is seeking a Computational Biologist /Bioinformatician/Research Data Analyst 1 to manage and analyze high throughput next generation sequencing data from samples acquired from laboratory experiments, clinical trials of cancer patients, and or publicly available data, as well as to participate in new protein design strategies using emerging AI-tools.The Kalbasi laboratory is administratively situated within the Stanford University School of Medicine's Department of Radiation Oncology and the Stanford Cancer Institute. As an NCI-designated Comprehensive Cancer Center the Stanford Cancer Institute is a dynamic and stimulating place to work as it maintains the highest level of scientific rigor, institutional support and coordination for the complete range of cancer-related research, including basic, translational, clinical and population-based science. Duties include: Collect, manage and clean datasets.Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data, and for protein design.Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.Analyze data processes in documentation.Collaborate with faculty and research staff on data collection and analysis methods.Provide documentation based on audit and reporting criteria to investigators and research staff.Communicate with government officials, grant agencies and industry representatives. - Other duties may also be assigned DESIRED QUALIFICATIONS: Bachelor's, MS, or PhD degree in Bioinformatics, Computation Biology or Computer Science or a related field with two years of relevant experience.Strong background in bioinformatics and biostatistics, including experience with analysis of next-generation sequencing data. Ideal candidates will also have experience with machine learning/AI tools, and experience with or interest in protein design.Experience and comfort in working within a UNIX/Linux environment.Background in programming languages such as Python, R, Matlab, Perl.Good communication and team skills and fluency in both spoken and written English.Knowledge of techniques for analyzing tumor purity and clonal heterogeneity.A background in oncology and/or immunology is preferred. Knowledge of Monte Carlo based statistical methods.Background in cancer biology.Familiarity with predictive modeling and machine learning.Skills in machine learning and data analysis software. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Substantial experience with MS Office and analytical programs.Strong writing and analytical skills.Ability to prioritize workload. PHYSICAL REQUIREMENTS : Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand. - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: Some work may be performed in a laboratory or field setting. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $80,148 to $99,773 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at . For all other inquiries, please submit a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. Additional Information Schedule: Full-time Job Code: 4751 Employee Status: Regular Grade: G Requisition ID: 106164 Work Arrangement : Hybrid Eligible