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McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Job Description The Lead Data Scientist, Supply Chain - Operations Research role is responsible for architecting and implementing AI/ML products to enhance the efficiency and effectiveness of McKesson's supply chain operations as part of a McKesson's Supply Chain & Operations COE. Our team applies data science methodologies to interdisciplinary business problems across Operations & Supply Chain. This position will work on strategic in-flight use cases around inventory and working capital management. The position's objectives are: Develop stochastic models to facilitate next best actions across Supply Chain Architect and lead implementation of AI/ML driven operation research frameworks to optimize enterprise inventory management systems Lead development of enterprise-scale digital twin for inventory management The candidate should possess the ability to perform statistical modelling techniques and derive business insights that are required to drive analytic innovation at McKesson. The candidate should also be an active learner able to grasp and apply new analytic approaches, as well as mentor junior / developing resources. Position Description The purpose of this position is to architect, implement, drive adoption, and measure impact of innovative analytic solutions at McKesson, as well as make significant improvements to existing solutions. Analytic Responsibilities Develop inventory optimization / multi-echelon simulation framework for supply chain Lead in development of statistical simulation decision frameworks Develop of AI/ML driven continuous monitoring systems in order to dynamically track McKesson network and continuously identify areas of working capital opportunity Play a leading role in adding Reinforcement Learning to set dynamic prices & safety stocks Other Responsibilities Support stakeholders' analytic needs, gather user requirements, help drive adoption Cultivate business development opportunities Assist in developing and maintaining long-term stakeholder relationships and networks Minimum Requirements Experience: 7+ years data science / analytics / programming experience based on combination of industry and academic experience Education: bachelor's degree in a technical field such as: Operations Research, Computer Science, Statistics, Applied Mathematics, Engineering or related quantitative / STEM majors. Masters and/or PhD preferred. Critical Skills Experience with one or more of optimization toolkits/libraries like CPlex, Gurobi, XPressMP, Open-source solvers (CBC, GLPK) etc Deep knowledge of statistical methods, advanced modeling techniques, along with optimization & OR techniques Demonstrated experience with solving enterprise inventory optimization and/or transportation optimization problems Ability to communicate your results from deeply technical to non-technical audiences Demonstrated ability to tackle problems across the full data stack, from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scale Deep knowledge of machine learning / data science best practices Knowledge of statistical programming (SAS, R, MATLAB) Ability to communicate technical concepts to non-technical audiences Demonstrated experience with objected oriented programming (Python, Java, C#, VBA, etc.) Strong grasp of fundamental statistical concepts: linear regression, A/B testing, outlier analysis, probability distributions, tests for independence, etc. Additional Knowledge & Skills Analysis/Process Thinking Team player Strong verbal and written communication Knowledge of relational databases (e.g. MS SQL Server, Snowflake, Oracle) Knowledge of cloud computing platforms is a plus (e.g. Azure, AWS, Google Cloud, Databricks) Proficient with Excel spreadsheets, financial modeling, and reporting Prior data mining experience using enterprise systems (SAP or JD Edwards preferred) Knowledge of data warehousing & ETL best practices is a plus We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $158,000 - $263,300 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

Contract: 6-month initial term with conversion potential Work Authorization: Must be authorized to work in the U.S. without sponsorship requirements Ellofant is a modern consulting firm built for those who want to do work that actually moves the needle. We help companies navigate change, complexity, and scale through a blend of strategic thinking, trusted technology, and hands-on execution. Our clients rely on us not just for advice, but for building systems, launching products, and driving outcomes that matter. At Ellofant, we value clarity over jargon, momentum over perfection, and people over process. Were looking for curious, driven individuals who want to solve real problems with real impact. If you're excited about challenging whats possible and delivering meaningful change while you're at it, Ellofant might be your next move. About the Role We're seeking an experienced Site Reliability Engineer to join our infrastructure resiliency team. In this role, you'll be responsible for ensuring the stability, performance, and reliability of critical systems across diverse technology stacks including mainframe, Windows, and cloud environments (OpenShift, AWS, Azure). You'll work at the intersection of software engineering and operations, driving automation, implementing resiliency patterns, and responding to critical events to maintain exceptional service availability. What You'll Be Doing 1. Coordinate responses to critical events with application support teams and the Site Reliability Center 2. Triage and respond to alerts generated through BigPanda event correlation platform 3. Assess cross-domain impacts and engage appropriate support teams or escalate as needed 4. Participate in on-call rotations to provide 24x7 coverage for critical systems 5. Conduct blameless post-mortems and root cause analysis to drive continuous improvement 6. Design and implement automated monitoring and alerting systems using Dynatrace, Grafana, Logscale, CrowdStrike, Prometheus, Splunk, Moogsoft, and Datadog 7. Create robust dashboards and implement SLAs/SLOs through comprehensive monitoring 8. Analyze metrics from operating systems and applications to assist in performance tuning and fault detection 9. Develop and implement chaos engineering practices using Litmus, Gremlin, Azure Chaos Studio, and Chaos Mesh 10. Design fault injection experiments to validate system resilience using AWS Resilience Hub 11. Build self-healing capabilities and automated remediation workflows 12. Implement health checks, autoscaling solutions using AWS Lambda, Kubernetes, OpenShift, and Istio service mesh 13. Manage infrastructure across mainframe systems, Windows, RHEL, and cloud platforms (AWS, Azure, OpenShift) 14. Work with containerized environments, event streaming platforms (Kafka), and database systems (Oracle, SQL) 15. Maintain virtualization infrastructure (VMware) and storage systems (NAS) 16. Leverage ServiceNow for incident management, Jira for issue tracking, and CA7 for job scheduling 17. Identify opportunities to improve application stability and evangelize SRE best practices 18. Maintain comprehensive knowledge bases and runbooks in Confluence 19. Mentor junior team members on resiliency patterns and operational excellence What We're Looking For 1. 3-5 years of relevant experience in site reliability, infrastructure, or DevOps engineering 2. Strong expertise in monitoring and observability tools (Dynatrace, Grafana, Prometheus, Splunk, or similar) 3. Experience with incident management and event correlation platforms (BigPanda, ServiceNow, Moogsoft) 4. Proficiency with Linux/Unix systems (RHEL) and Windows Server environments 5. Hands-on experience with cloud platforms: AWS, Azure, or OpenShift 6. Strong knowledge of containerization and orchestration: Kubernetes, Docker, OpenShift 7. Experience with chaos engineering and fault injection frameworks (Litmus, Gremlin, AWS FIS, Azure Chaos Studio) 8. Solid understanding of networking, database systems (Oracle, SQL), and distributed architectures 9. Experience with event streaming platforms (Kafka) and service mesh technologies (Istio) 10. Familiarity with mainframe systems and legacy infrastructure 11. Experience with infrastructure as code and automation tools 12. Knowledge of job scheduling systems (CA7 or similar) and middleware technologies 13. Proficiency with Jira, Confluence, and ITSM tools 14. Experience working in financial services or other highly regulated industries preferred 15. Relevant certifications valued: AWS/Azure architecture, RHCE, VCP, Kubernetes (CKA/CKAD) 16. Strong analytical thinking, problem-solving abilities, and troubleshooting skills 17. Excellent written and verbal communication skills for cross-functional collaboration Our Commitment We're committed to building resilient systems that deliver exceptional reliability and performance at scale. You'll work with cutting-edge resiliency engineering tools and practices, collaborate with talented engineers across domains, and have opportunities to mentor junior team members while continuously advancing your own skills in this evolving field. Equal Employment Opportunity & Inclusivity Ellofant is proud to be an Equal Employment Opportunity Employer. We do not discriminate in employment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, age, protected veteran status, genetic information, or any other characteristic protected by law. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, compensation, benefits, training, termination, and other conditions of employment. Commitment to Diversity, Equity & Inclusion We believe diversity, equity, and inclusion are fundamental to innovation, thoughtful client service, and a thriving workplace culture. We welcome and value different perspectives, experiences, and backgrounds including but not limited to race, gender, ethnicity, sexual orientation, disability status, veteran status, and neurodiversity. Accommodations are available upon request during the application and interview process. Pay Transparency & Benefits Compensation will be commensurate with your experience, skill set, and job location. Ellofant offers a competitive benefits package, which may include medical and dental coverage, retirement savings plans, paid time off, and professional development support. Salary range will be disclosed to candidates as part of the interview process where permitted. Application Privacy & Process Your personal information, including resume, interview feedback, and any background checks, will be collected and used solely for recruitment purposes and handled in accordance with applicable privacy laws. Employment is contingent upon successful completion of verification of eligibility and reference checks. You must be authorized to work in the U.S. Fraud Awareness Please be aware of potential recruitment fraud. Ellofant will never request payment or sensitive financial information at any stage of the hiring process. All legitimate communication will come from ellofant. If you receive suspicious outreach claiming to be from Ellofant, please contact us directly. We appreciate your interest in Ellofant and encourage candidates from all backgrounds who are excited about challenging whats possible to apply. Phoenix has emerged as a major technology and financial services hub in the Southwest, attracting companies and talent with its combination of business-friendly policies, modern infrastructure, and outstanding quality of life. The metropolitan area's explosive growth has created a dynamic technology ecosystem where innovation thrives and career opportunities abound for Site Reliability Engineers working on cutting-edge systems. With over 300 days of sunshine annually, Phoenix offers an enviable climate for those who appreciate outdoor activities, from hiking the numerous mountain preserves within the city to exploring the stunning desert landscapes that surround the metro area. The city's cost of living, while rising, remains competitive compared to California tech hubs, and the absence of state income tax on high earners provides significant financial advantages. Phoenix's sprawling metropolitan area includes diverse communities ranging from urban downtown living to master-planned suburban neighborhoods with excellent amenities and schools. The city's international airport serves as a major hub with direct flights to destinations across North America and beyond, facilitating both business travel and personal adventures.

Engineer II Job No: 538370 Work Type: Full Time Location: Main Campus (Gainesville, FL) Categories: Engineering, Physical/Mathematical Sciences Department: - LS-CHEMISTRY-GENERAL Job Description Classification Title: Engineer II Classification Minimum Requirements: A high school diploma or equivalent and six years of relevant experience; Appropriate college coursework or vocational/technical training may substitute at an equivalent rate for the required experience; or Bachelors degree in an appropriate area and two years of relevant experience. Job Description: Support and Guidance: Troubleshoots, procures parts, repairs, and tests scientific service instruments and electrical issues for the teaching labs, research labs, and research service facilities within the department. Examples include (but are not limited to) hot plates, magnetic stirrers, gas chromatographs, mass spectrometers, NMR spectrometers, X-ray diffractometers, UV-Vis instruments and HPLCs. Provides technical support to faculty and students who require the shop's expertise. Examples include advising research and lab instructional faculty, staff, and students on electronic instrumentation to be purchased for research or teaching use and designing custom circuits to meet specific needs. Provides solutions to special problems involving the use of electronic devices. Provides detailed service reports of instrument repair or service to end users. Training and Consultation: Provides training and consultation to facility users on specialized equipment and technology. Trains junior engineering personnel and grad students in advanced electronic techniques. Examples include techniques of circuit design, component selection, operations, troubleshooting, printed circuit design and fabrication, and computer interfacing. Collaborates with researchers and engineers from international institutions or companies on repairs of non-domestic instruments. Remains current on emerging techniques, software programs, and instrumentation in field of expertise Equipment/Facility Maintenance: Assists in the daily running of the electronic shop facility. Examples include assisting with inventory activities, sourcing supplies, and coordinating servicing and maintenance activities for shop equipment. Maintains shop records. Examples include records of work orders and purchase orders and informing business office personnel of all matters relating to costs of operation of the shop. Provides feedback to the supervisor on potential process improvements and cost-saving opportunities for parts. Services, calibrates, and checks departmental scientific equipment for proper function. Performs periodic preventative maintenance on facility instrumentation Expected Salary: $61,000 - $70,000 Required Qualifications: A high school diploma or equivalent and six years of relevant experience; Appropriate college coursework or vocational/technical training may substitute at an equivalent rate for the required experience; or Bachelors degree in an appropriate area and two years of relevant experience. Preferred: Knowledge of basic electronics engineering Knowledge of basic electronics circuits and components Knowledge of circuit design and fabrication. Knowledge of troubleshooting methods Knowledge of computer operation Knowledge of computer interfacing Knowledge of electronics central to the teaching and research missions of a modern department of chemistry Skill in providing engineering support and guidance to faculty and students Special Instructions to Applicants: In order to be considered, you must upload your cover letter and resume. Application must be submitted by 11:55 p.m. (ET) of the posting end date. Health Assessment Required: No Applications Close: 26 January 2026 To apply, visit Our Commitment: The University of Florida is an Equal Employment Opportunity Employer. Hiring is contingent on eligibility to work in the U.S. The University of Florida is a public institution and is subject to all requirements under Florida Sunshine and Public Record laws. If an accommodation due to a disability is needed to apply for this position, please call 352-392- 2477 or the Florida Relay System at (TDD) or visit Accessibility at UF. Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-bf7f7bfbda272e9392d

Role: Senior Software DeveloperBill Rate: $75/hour C2CLocation: Frisco, TXDuration: 12+ months/ long-term Interview Criteria: Telephonic + ZoomDirect Client Requirement Senior Software DeveloperWhat you will do: Lead the design, development, and implementation of software applications to support Fiserv's business goals. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Perform coding, testing, and debugging of applications to ensure optimal performance and reliability. Maintain and improve existing codebases and lead peer review processes ensuring adherence to coding standards. Mentor junior developers and provide technical guidance to enhance team capabilities. What you will need to have: 10+ years of software development experience in Java, Spring Boot, Spring Security, Spring Batch, Spring Microservices. 4+ years of experience in SQL Server with expertise in writing stored procedures. 3+ years of experience in Pivotal Cloud Foundry (PCF), AWS, Azure. 3+ years of experience developing and designing in Microsoft Azure Cloud. Bachelor's degree in Computer Science, Software Engineering, or related field and/or equivalent military experience. What would be great to have: Experience in Splunk, REST APIs, Front-end frameworks (Angular or React 3+ years of experience with CI/CD pipelines and DevOps practices. 3+ years of experience with Agile methodologies and tools (e.g., Jira, Confluence Experience in the financial services industry. Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of our IT Recruiter from my team will contact you as soon as possible Srinivasa Reddy Kandi Client Delivery Manager Valiant Technologies LLC Equal Opportunity Employer: We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law

CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Job Description CDS DATA SYSTEMS & AI ENGINEER, Office of the Provost Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 10/9/2025 Salary Grade Grade 51 Expected Hiring Range Minimum $100,000.00 Expected Hiring Range Maximum $123,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular The CDS Data Systems, Software, and AI Engineer will serve as the technical lead on a portfolio of interdisciplinary projects spanning software engineering, data systems, and artificial intelligence. The position will guide individuals and teams in the design, development, deployment, and evaluation of (near) production-quality systems-whether software platforms, data infrastructures, or AI-powered solutions-aligned with CDS research, teaching, and operational priorities. Working closely with CDS leadership, this role will also be responsible for selecting, scoping, and resourcing projects. The engineer will play a central role in shaping a critical technical function within a pioneering academic unit, with the potential to impact cutting-edge research, student learning experiences, and the creation of innovative artifacts that advance academic and operational excellence at BU and beyond. This position will also serve as a key liaison with BU units involved in software, data, and AI infrastructure development, including IS&T, BU Spark! Solution Engineers, and BU SAIL. The engineer will supervise student interns and/or soft-funded research staff working on software, data, or AI engineering projects. Specific duties include: Development of Software, Data, and AI Infrastructures and Solutions - 50% Lead the design and implementation of integrated software systems, scalable data infrastructures, and AI-powered applications that support faculty research and clinic-based projects. Standardize development practices across domains by ensuring code quality, data governance, security protocols, and model evaluation. Develop open and extensible artifacts such as modular software platforms, MCP-based data repositories, and AI components, including large language models and agentic AI systems. Close collaboration with technical and administrative leads is required to deliver tailored solutions that meet both experimental and operational needs. Maintain an online repository of completed projects, datasets, software tools, and AI models to ensure transparency, accessibility, and reuse. Experiential Learning Support - 20% Support faculty in delivering high-quality experiential learning through CDS clinics and BU Spark! practicum offerings, with projects spanning software engineering, data science, and AI development. Responsibilities include assisting in project scoping, student applicant assessment, and quality assurance across technical domains. Provide mentorship and technical guidance to junior staff, student project managers, and interns working on software, data, or AI initiatives. In addition, represent CDS as the senior technical lead in meetings with both internal and external partners. Sponsored Research Support - 20% Collaborate with CDS faculty on sponsored research projects that require software prototypes, data pipelines, and AI systems. Support the development and deployment of pilots as well as production-ready artifacts across software, data, and AI domains. Serve as a liaison to BU departments providing computing resources or technical support, including IS&T Research Computing, the Hariri Institute's SAIL, and Medical Campus cores such as BEDAC and the Bioinformatics Core. Technical Consultancy - 10% Provide advisory support to faculty, students, and partners on the design and implementation of pilot projects involving software development, data engineering, and AI integration. Guide innovation efforts within CDS clinics, BU Spark! courses, and student-led initiatives, ensuring technical feasibility and alignment with best practices across all domains. Required Skills Bachelor's degree in Computer Science, Computer Engineering, Computational Sciences, Mathematics, Statistics, or related technical field required. 5-8 years of relevant experience. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, natural or protective hairstyle, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor. Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $100,000.00-$123,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-2733eb1cf9dd0442b7b9716bc1c0aee5

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

Data Science Analyst 2 Job ID: 292361 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Medical College of Georgia (MCG) is one of the nation's largest medical schools by class size, with 304 students per class. The MCG educational experience is anchored by the main campus in Augusta, with regional clinical campuses for third- and fourth-year students across the state, and two four-year campuses located in Athens (in partnership with the University of Georgia) and in Savannah (in partnership with Georgia Southern University). MCG's expanding partnerships with physicians and hospitals across Georgia currently provide more than 350 sites where students can experience the full spectrum of medicine, from complex care hospitals to small-town solo practices. MCG and its teaching hospitals also provide postgraduate education to approximately 575 residents and fellows in 50 different Accreditation Council for Graduate Medical Education-approved programs. Our researchers and clinicians focus on what most impacts the health of Georgia's and America's children and adults, including cardiovascular biology and disease, cancer, neurosciences and behavioral sciences, public and preventive health, regenerative and reparative medicine, personalized medicine and genomics. Our physician faculty also share their expertise with physicians and patients at about 100 clinics and hospitals statewide. Job Summary The Department of AI & Health seeks an experienced Data Scientist 2 to join our research unit and provide technical leadership in advancing our computational health research capabilities. This mid-level position combines hands-on data science expertise with team leadership responsibilities, playing a pivotal role in establishing our department as a leader in AI-driven health research. You will lead complex research projects involving medical imaging, electronic health records, genomics, and real-time patient monitoring data while mentoring team members and contributing to our growing portfolio of high-impact research in predictive diagnostics, personalized medicine, and clinical decision support systems. Your leadership will directly enable grant acquisition, accelerate publication output in top-tier journals, attract doctoral students and postdoctoral fellows, and establish valuable partnerships with clinical departments and external collaborators seeking robust computational capabilities. Responsibilities The responsibilities include, but are not limited to: Application Development and System Design Utilizes a solid understanding of fundamental design concepts during all stages within the Software Development Life Cycle (SDLC). Shared responsibility with team lead for the Design stage within the SDLC. Shared responsibility with junior developers for the following stages within the SDLC: Construction, Testing, Debugging, and Deployment. Analyzes and identifies solution-wide testing requirements. Investigates systematic and operational issues and identifies potential solutions. Flexibility with both SysOps and DevOps opportunities. Leverages advanced knowledge of Microsoft, open-source, and web standard technologies such as ASP. NET Web Forms, ASP.NET MVC, C#, CSS, HTML, JavaScript, jQuery, and T-SQL to design and develop technical solutions to new and existing problems with varying scale and complexity utilizing fundamental design concepts and department standards to support work at the intersection of longitudinal machine learning, multi-modal analysis, clinical informatics, and population health. Application Implementation and Maintenance Develops and maintains applications and databases by working with the team lead in evaluating client needs, analyzing requirements, and developing software systems across multiple projects. Arranges project requirements in programming sequence by analyzing requirements. Prepares workflow documents using knowledge of client capabilities, subject matter, development technologies, and logic. Confirms program operation, integrity, consistency, and standards compliance with each platform necessitated by the client. Communication Identifies and transcribes client requirements and requests using interpersonal skills and ability to translate to all technical or non-technical audiences. Provides design and requirements for user guide documentation and validates its content. Oversight of customer service tasks such as user training, user queries, operational problems, and system problems. Enhance staff accomplishments and competence by planning delivery of solutions, answering technical and procedural questions, teaching improved processes, and conveying general accessibility. Supervision Serves as team lead to junior application developers. Required Qualifications Bachelor's degree from an accredited college or university in Data Science, Computer Science, Biomedical Informatics, Statistics, Engineering, or a related field with three years related experience. Preferred Qualifications Prior involvement in healthcare, academic operations, or public sector analytics. Familiarity with EHR systems (Epic, Encompass) or academic admissions systems (AMCAS). Knowledge, Skills, & Abilities Ability to maintain confidentiality. Detail-oriented. Excellent interpersonal, verbal, and written communication skills. Proficient in Microsoft Office and other computer software/databases. Shift/Salary/Benefits Shift: Days/M-F (work outside of normal business hours will likely be required of an employee in an exempt level position) Pay Band: B11 Salary Range: $56,600/annually - $72,200/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position. Recruitment Period: 11/21/25 - Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. For Faculty Hires: Final candidates will be required to provide proof of completed academic degree(s) as well as post-secondary coursework in the form of original transcript(s). Those candidates trained by a foreign institution will also be required to provide an educational/credential evaluation. All employees are responsible for ensuring the confidentiality, availability, and integrity of sensitive patient, student, employee . click apply for full job details

Johns Hopkins Engineering is seeking a Sr. Technology Solutions Analyst to join the Center for Media & Technology Solutions (CMTS). Our team supports a range of technology solutions for Whiting School of Engineering, including business operations (recruitment and admissions solutions), communications (meetings and event management solutions) and academic technology. This role sits at the intersection of technology, higher education business operations, and user experience"and is responsible for technology needs analysis, technology evaluation, implementation, maintenance, and end user support. The position is responsible for ensuring successful delivery of high-quality technical solutions that meet expectations of our Hopkins Enterprise constituents by leading a variety of programs and projects to evaluate business processes and gather requirements for complex transaction and reporting systems and adoption of test-driven development methodology, including developing, maintaining and organizing test cases, test scripts and test scenarios for the university's information systems. This includes test events and various other test deliverables for projects, enhancements, operations and maintenance activities, common understanding and documentation of scope, requirements and design amongst stakeholders including sponsors, decision makers, content owners, users and technical teams. This position will also serve as a liaison providing assistance to team members and business partners by understanding the business requirements at a depth sufficient to define technical deliverables, including appropriate test coverage to ensure quality product is delivered. Position is also responsible for analyzing and reporting meaningful metrics on testing status and operations. The position will provide a layer of essential services surrounding software development services, including the analysis and gathering of requirements, engaging with developers/engineers on solution design, and designing test suite in parallel with software development that will ultimately ensure delivered product meets quality standards, is fit for use, and meets expectations articulated by our customers. Collaborates with various teams for technical direction and feasibility studies to propose solutions that address requirements. Applies proven communication, analytical and problem-solving skills to deliver value-added solutions and to ensure project deliverables meet specifications. Expected to critically evaluate articulated needs or requirements and propose technical solutions to address them, leveraging standards to the extent possible. Ability to evaluate vendor-provided solutions relative to business needs/requirements and recommend suitable solutions is essential. This position includes applying knowledge to identifying and developing test cases, automated test cases, test scripts for identified business requirements, and corresponding data requirements for various business processes. This position also includes responsibilities for individuals to recommend tools, execute tests and manage defects. This position requires a combination of strong functional abilities, writing, data visualization and user facing skills. Critical skill requirements include: analysis and gathering of requirements, documentation, creating data flow diagrams and/or visual prototypes & visual representations of data, strong verbal and written communication, developing test cases, automated test cases, and test scripts. Responsible for full life cycle of large/long-term highly complex projects. Typically manages multiple projects of varying complexities. Based on expert technical knowledge, skills, and experience, develops broad-based solutions involving multifaceted technologies, and business processes. Responsible for requirement gathering and analysis, developing recommendations for technical solutions in concert with technical professionals on the team, and enabling test-driven development of solutions by maintaining test plans and test assets for teamwork (enhancement, support and maintenance projects.) Demonstrates strong ability in technology and/or strong understanding of the business/education process. Builds and maintains client relationships through positive interactions. Specific Duties & Responsibilities Analysis & Requirements Gathering Define highly complex business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes. Provide written documentation of findings to share with the client and other IT colleagues. Gather highly complex system requirements by meeting with clients and researching existing technology to understand the business requirements and possible solutions for new applications. Design & Development Develop detailed tasks and project plans by analyzing project scope and milestones for highly complex projects to ensure product is delivered timely according to software lifecycle standards. Write functional/technical specifications by taking the provided highly complex system requirements and putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions. Direct lower-level staff by reviewing their work. Provide monitoring and guidance in business process and application design to more junior staff. Give direction and leadership in techniques and tools to lower-level staff. Provide experienced leadership for strategic planning in designing and developing comprehensive innovative integrated solutions. Testing & Documentation Create and document highly complex test scenarios using the appropriate testing tools to validate and verify application functionality. Test all changes by using the appropriate highly complex test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way. Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references. Mentor junior staff in testing tools and technologies by reviewing their work. Implementation & Maintenance Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution. Monitor changes and resolve highly complex problems by responding as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution. Provide support by triaging and resolving highly complex issues to ensure prompt, effective service. Other duties as assigned. In addition to the duties described above Work with the Director of Technology to conduct technology needs analysis, business analysis and technology consulting services for WSE stakeholders. Attend meetings, communicate stakeholder needs, document requirements, and manage other administrative tasks. Support WSE programs and initiatives involving technology transformation, evaluation, and/or adoption, including AI enablement and transformation. Make recommendations and appropriate decisions using available resources, data, and stakeholder requirements when identifying technology solutions. Design and deliver digital products (e.g., websites, SharePoint sites, digital media, and course assets) and/or coordinate with 3rd party vendors to deliver solutions. Minimum Qualifications Bachelor's Degree. Six years of related experience preferably within testing and business requirement gathering. Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Preferred Qualifications Experience with educational technology (e.g., Canvas LMS and 3rd party tools). Experience with ChatGPT. Experience with Zendesk Support and Guide. Experience with video communications (e.g., Zoom). Knowledge in the assigned application as well as the platform on which it runs. Higher education experience is helpful but not required. Expected Skills Proficiency Level Agile Methodology - Advanced Application Architecture - Advanced Data Architecture and Design - Advanced Data Visualization - Advanced JIRA - Advanced Operating Systems - Advanced Product Requirements - Advanced Software Development Life Cycle - Advanced Software Documentation - Advanced Systems Architecture - Advanced User Story - Advanced Workflow Management - Advanced The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs. Classified Title: Sr. Business Solution Analyst Job Posting Title (Working Title): Sr. Technology Solutions Analyst (Center for Media & Technology Solutions) Role/Level/Range: ATP/04/PF Starting Salary Range: $43.84 - $76.82 HRLY (Commensurate w/exp.) Employee group: Part-time Schedule: M-F, 19 hrs wkly FLSA Status: Exempt Location: Remote Department name: Ctr for Media & Tech Solutions . click apply for full job details

Category: : Faculty Subscribe: : Department: : Computer Science - 02110 Locations: : Albany, NY Posted: : Oct 20, 2025 Closes: : Open Until Filled Type: : Full-time Ref. No.: : WF250122 Position ID: : 193984 About University at Albany: Established in 1844 and designated a University Center of the State University of New York in 1962, the University at Albany's broad mission of excellence in undergraduate and graduate education, research and public service engages a diverse student body of approximately 17,000 students in nine schools and colleges across three campuses. Located in Albany, New York, New York State's capital, the University is convenient to Boston, New York City and the Adirondacks. Job Description: The Computer Science Department within the College of Nanotechnology, Science, and Engineering at the University at Albany, SUNY, is seeking applicants for an Associate or Full Professor to begin Fall 2026. Areas of particular interest include computer science Systems, and the specific research topic this EIP targets is AI-Supported microelectronic chip design. The position is a SUNY Empire Innovation Program position, which is intended to recruit and support faculty with particularly strong records of research accomplishments. More information about the SUNY Empire Innovation Program can be found here: The successful candidate is expected to develop an externally funded research program in computer science. In addition, the applicant will be responsible for teaching 3-4 courses per year at the undergraduate and graduate levels and participate in curriculum development. Specific teaching assignments will be determined by the candidate's expertise and the needs of the Department. Faculty are expected to provide service to the College and their home departments and programs by participating in governance as well as providing professional service to the community and their disciplines. The successful applicant will be expected to actively mentor undergraduate and graduate students, including underserved and historically underrepresented students, and participate in pipeline programs to help build a diverse and representative student population. EIP professors are expected to work in an interdisciplinary way with faculty in other departments, including the departments of Nanoscale Science & Engineering, Electrical & Computer Engineering, and Environmental & Sustainable Engineering. EIP professors are also expected to mentor junior faculty. Primary Responsibilities: Teach classes in the computer science systems domain, including but not limited to computer architectures, computer networks, operating systems, and software engineering Research, including supervision of PhD students and postdoctoral scholars Service to the CS department, CNSE, and UAlbany participating in departmental meetings, service activities such as student recruitment and outreach Functional and Supervisory Relationships: Reports to Computer Science Chair Supervises the following positions: NA May supervise as assigned: Graduate and undergraduate students working as teaching assistants, lab supervisors, and graders Job Requirements: A distinguished record of scholarship, teaching, and service that qualifies for a tenured appointment at the rank of Associate or Full Professor Strong communication, interpersonal, and organizational skills Demonstrated teaching experience or strong potential for effectively teaching CS courses and otherwise communicate effectively about CS concepts at the undergraduate and graduate level A demonstrated commitment to diversity, equity, inclusion, and student success Requirements: Minimum Qualifications: Ph.D. in Computer Science or related discipline from a college or University accredited by the US Department of Education or internationally recognized accrediting organization A record of undergraduate and graduate teaching that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A record of research that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A record of service that meets the criteria for a tenured faculty appointment at the rank of Associate Professor or Full Professor A strong record of scholarly publications A record of research funding Experience in graduate student mentorship Applicants must demonstrate an ability to develop inclusive and equitable relationships within our diverse campus community Applicants must demonstrate an ability to support diversity, equity, access, inclusion, and belonging relative to their role Preferred Qualifications: A record of interdisciplinary research with scientists in fields such as chip design and nanotechnology Recognized as an international leader in their research area Working Environment: Faculty will be provided with personal office space and lab space to support research Teaching will be scheduled across the different campus teaching facilities Class schedules may include courses offered after 5 pm on weekdays Online courses may be scheduled at the discretion of the department chair This position will require occasional evening and weekend work to support events and community activities Travel within New York State and beyond may be necessary Additional Information: Professional Rank and Salary Range: Associate Professor / Full Professor, A4, Salary commensurate with experience The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, without exception, prepare, publish and distribute an Annual Security Report. This report consists of two basic parts: disclosure of the University's crime statistics for the past three years; and disclosures regarding the University's current campus security policies. The University at Albany's Annual Security Report is available in portable document format PDF by clicking this link Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . THE UNIVERSITY AT ALBANY IS AN EO/AA/IRCA/ADA EMPLOYER Please apply online via Application Instructions: Applicants MUST submit the following documents: CV Cover letter stating all the required minimum qualifications and any of the applicable preferred qualifications. Contact information for three references Note: After submitting your CV, the subsequent pages give you instructions for uploading additional documents (i.e. cover letter etc.). See the FAQ for using our online system. Please contact us if you need assistance applying through this website. Returning Applicants - Login to your UAlbany Careers Account to check your completed application. A review of applications will start on October 31, 2025 and the search will remain open until the position is filled.

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

Research IT Solutions is seeking a highly collaborative, user-centered Research IT Solutions Engineer , who will provide technical engineering and solution design services for a range of IT solutions developed to meet the diverse needs of the Johns Hopkins University (JHU) and Johns Hopkins Medicine (JHM) research community. This role will contribute to the critical delivery of a new set of service offerings for the Research IT Solutions unit being rolled out under the Office of the Deputy CIO, as part of Johns Hopkins' expanding central IT support for the research mission. Research IT Solutions offers a coordinated experience to investigators through the design and facilitation of secure, cutting-edge IT solutions and services, developed and supported in collaboration with key IT teams and support partners across the institution. Research IT Solutions bridges the gap between technology and research, helping investigators navigate the complexities of IT throughout the research lifecycle. The Research IT Solutions Engineer will draw on core skills in software development practices, continuous integration and deployment, research application support, cloud platform administration, data and storage management, and AI/ML workflow enablement to deliver solutions that address the evolving needs of investigators while ensuring alignment with institutional best practices. Specific Duties & Responsibilities Analysis & Requirements Gathering Define complex business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes. Provide written documentation of findings to share with the client and other IT colleagues. Gather complex system requirements by meeting with clients and researching existing technology to understand the business requirements and possible solutions for new applications. Design & Development Develop detailed tasks and project plans by analyzing project scope and milestones for complex projects to ensure product is delivered quickly according to software lifecycle standards. Write functional/technical specifications from the complex system requirements, putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions. Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for complex application development tasks. Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to various knowledge-base system(s) to simplify code maintenance and to improve support. Provide monitoring and guidance in application design and development to more junior staff. Provide thought leadership in designing and developing innovative integrated solutions. Testing & Documentation Create and document complex test scenarios using the appropriate testing tools to validate and verify application functionality. Test all changes by using the appropriate complex test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way. Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references. Mentor junior staff in testing tools and technologies by reviewing their work. Implementation & Maintenance Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution. Monitor changes and resolve complex problems by responding as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution. Provide support by investigating and resolving issues, including complex issues to ensure prompt, effective service. Minimum Qualifications Bachelor's Degree in Computer Science, Computer Information Systems, Information Technology, Electronic Engineering, or a related field. Five years of related work experience with computer systems and applications. Preferred Qualifications Four years of relevant professional experience, or an equivalent combination of education and experience. Experience supporting research computing projects across diverse domains, including data science, analytics, and computational workflows. Familiarity with cloud platforms and services (AWS, Azure, or Google Cloud), including emerging cloud-native research tools. Knowledge of research-focused platforms such as collaborative computing environments, data processing frameworks, or electronic research tools (e.g., electronic lab notebooks). Exposure to containerization, workflow orchestration, and modern application environments used in research contexts. Experience supporting research applications and assisting with software development practices, CI/CD pipelines, and version control systems. Proficiency in at least one coding or scripting language (e.g., Python, R, Bash, or similar) for workflow automation and application support. Familiarity with collaboration and productivity platforms (e.g., Microsoft 365, GitHub, Jira). Ability to contribute to documentation and provide consultation that helps align technical solutions with research needs. Communication Skills - ability to communicate clearly with both technical and non-technical audiences, while being respectful of diverse perspectives. Data Sensitivity and Compliance - familiarity with data protection principles and relevant regulations such as HIPAA and FERPA. Technical Skills and Expected Level of Proficiency Agile Methodology - Intermediate Algorithms - Intermediate Application Programming Interface (API - Intermediate CI/CD - Intermediate Cloud Serverless Computing Architecture - Intermediate Code Review - Intermediate Data Architecture and Design - Intermediate Data Structures - Intermediate Debugging - Intermediate Dev Ops: Intermediate JIRA - Intermediate New Product Development - Intermediate Secure Coding - Intermediate Service Orientated Architecture - Intermediate Software Design Patterns - Intermediate Software Development Life Cycle - Intermediate Software Engineering - Intermediate Unit Testing - Intermediate Classified Title: Software Engineer Job Posting Title (Working Title): Research IT Solutions Engineer Research) Role/Level/Range: ATP/04/PE Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.) Employee group: Full Time Schedule: Mon-Fri 8:30am-5:00pm FLSA Status: Exempt Location: Remote Department name: Research IT Solutions Personnel area: University Administration Total Rewards The referenced base salary range represents the low and high end of Johns Hopkins University's salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: . Education and Experience Equivalency Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job. Applicants Completing Studies Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date. Background Checks The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function. Diversity and Inclusion The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework . click apply for full job details

Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details

Position Title: Assistant/Associate Professor of Instruction - Computer Science Job Posting Number: NTL Job Location: San Marcos College/Division: College of Science and Engineering Department/School: Computer Science Position Description : The Department of Computer Science invites applications for faculty positions at the rank of Assistant and/or Associate Professor of Instruction, starting in Fall 2026. We are seeking candidates to teach a variety of courses at the undergraduate and graduate levels. The position is a nine-month non-tenure-line faculty appointment. Opportunities exist to augment the academic year salary by assisting with summer instruction. Successful candidates are expected to do the following: Teach 4 sections of 2 to 3 undergraduate/graduate courses per semester. Participate in institutional and professional service. Exhibit a collaborative attitude that feeds into the culture of cooperation and teamwork in the Computer Science Department. This non-tenure-line faculty position is primarily for teaching. Candidates are not expected to engage in research, external funding, or publications. The department offers the following degree programs: Bachelor of Science (BS) in computer science, Bachelor of Arts in computer science, Master of Science in computer science, Master of Arts in computer science, Master of Science in Artificial Intelligence and Doctor of Philosophy in computer science. The BS degree is ABET accredited. The department enjoys a friendly atmosphere and is dedicated to the success of its junior faculty, providing support through formal mentoring, reduced service loads, collaboration and collegiality, and opportunities to participate in university-wide professional development programs. This position is subject to the availability of funds. Required Qualifications: For All Ranks: Master's degree in computer science or a closely related field by the start of employment. Evidence of teaching effectiveness in US universities. Excellent written and oral English communication skills. In addition, for the Associate Professor of Instruction rank: At least five years of teaching experience or at least 10 years' experience in industry working as a senior/lead scientist or engineer. Preferred Qualifications: Ph.D. degree in computer science or a closely related field. Experience teaching both lower- and upper-level computer science courses. Demonstrates current and contemporary competence in teaching content area University service experience. Exhibits the potential for increased leadership in teaching and instructional activities Application Procedures: Online submission of all application materials is required through the university's application portal: To assure full consideration, please submit the following by March 31, 2026 : Cover letter addressing the required and preferred qualifications Curriculum Vita Statement of teaching philosophy Unofficial transcripts (all in one document) List of references Candidates selected for interviews will be required to provide official transcripts from all degree-granting universities. Please visit Computer Science Faculty Opportunities for additional information and to apply. Type of Position: Full-Time Proposed Start Date: Fall 2026 Posting Date: 11/11/2025 Review Date : 03/31/2026 Open Until Filled?: Yes Legal Notices: Texas State University is committed to a policy of non-discrimination and equal opportunity for all persons regardless of race, sex, color, religion, national origin or ancestry, age, marital status, disability, veteran status, or any other basis protected by federal or state law in employment, educational programs, and activities and admissions. Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications. This position may conduct research on critical infrastructure depending on the research focus of a hire. Consistent with the requirements of the State of Texas, individuals conducting research on critical infrastructure will be subject to pre-employment, and then subsequent routine background checks/cybersecurity screenings. Employment will at all times be contingent upon the successful completion of these screenings in accordance with State and University requirements. Reasonable Accommodation: If you experience accessibility issues or require alternative formatting during the application process due to a disability or underlying condition, we request that you contact Talent Acquisition for assistance. A representative from Talent Acquisition will respond to you as soon as possible. Record Checks and Verifications: Employment with Texas State University is contingent upon the outcome of record checks and verifications including, but not limited to, criminal history, driving records, education records, employment verifications, reference checks, and employment eligibility verifications. Eligibility for Employment: In accordance with federal law, all new employees must complete the Form I-9 and provide acceptable documentation verifying their identity and authorization to work in the United States. Texas State University participates in E-Verify, and employment is contingent upon the successful verification of work authorization. Employees are required to maintain valid work authorization to satisfy the conditions of Form I9 at all times during their employment and the university makes no implicit or explicit promises to financially support visa or permanent residency applications. Why Work at Texas State?: Texas State University is home to more than 38,000 students and 2,000 faculty members in the growing Austin-San Antonio corridor. A member of the Doctoral Universities: Higher Research Activity Carnegie classification, the university creates new knowledge, fosters cultural and economic development, and prepares its growing student population for the endless possibilities that await them as citizens of Texas, the nation, and the world. Bolstered by research with relevance and innovation in creative and scholarly work in a full range of academic disciplines, Texas State seeks outstanding candidates for a variety of faculty positions. Quick Link:

Logo: Posting Number: STA00956PO25 Job Family: Information Technology Job Function: Business Data Analysis USC Market Title: IT Business Data Analysis Manager Link to USC Market Title: Job Level: M2 - Managerial Business Title (Internal Title): Database Administrator Lead Campus: Columbia Work County: Richland College/Division: Division of Information Technology Department: IT Enterprise Applications State Pay Band: 9 Approved Starting Salary: $87,231 Advertised Salary Range: $87,231- Salary is commensurate with experience Location of Vacancy: Columbia, SC (on-site) Part/Full Time: Full Time Hours per Week: 37.5 Work Schedule: Standard working schedule: Monday - Friday 8:30am - 5:00pm, with 1 hour for lunch. Must be willing to work a flexible schedule to meet the needs of the Division of IT. Basis : 12 months Job Search Category: Information Technology About University of South Carolina: From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor's degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service - helping to build healthier, more educated communities in South Carolina and beyond. Veterans' Preference Statement: The University of South Carolina is committed to equal opportunity and proudly values the skills and experience military veterans bring to our workforce. Across South Carolina, we are making veterans a priority for employment and recognize their vital contributions to our state and our communities. Advertised Job Summary: We're looking for a Database Administrator Lead to oversee the design, optimization, and governance of the university's enterprise data systems. In this pivotal role, you'll help ensure data is secure, reliable, and accessible-empowering insights that drive strategy, innovation, and student success.As part of the Analytics & Data Governance team, you'll partner with data engineers, analysts, and IT leaders to build a modern, high-performing data ecosystem that supports institutional reporting, analytics, and compliance. What You'll Do Lead database architecture, administration, and performance optimization. Manage integrations across cloud and on-premises platforms. Implement robust data security, access controls, and encryption measures. Oversee backup, recovery, and disaster recovery processes. Support data governance, reporting, and analytics initiatives across the university. Monitor and troubleshoot performance issues to ensure system reliability. Evaluate emerging technologies and recommend improvements. What You Bring Bachelor's degree in a related field. 5+ years of relevant database administration experience. Equivalent combinations of education, certifications, training, and experience will be considered. Preferred Qualifications Master's degree in a related field. Professional certifications such as: AWS Certified Database - Specialty Oracle Certified DBA Microsoft Certified: Azure Database Administrator Associate Experience working in higher education or large, complex enterprise environments. Familiarity with data governance frameworks and metadata management. Knowledge of AI/ML-based database performance optimization. Skills That Set You Apart Expertise in database administration, tuning, and optimization. Proficiency with SQL Server, Oracle, Snowflake, Azure, or similar platforms. Deep understanding of data integration, ETL/ELT, and automation. Strong grasp of data modeling, schema design, and query optimization. Experience with compliance and data privacy standards (FERPA, HIPAA). Proven ability to analyze complex problems and document effective solutions. Collaborative and adaptable-able to work effectively with technical and non-technical teams alike. Why Join USC? At the University of South Carolina, you'll be part of a collaborative team committed to supporting world-class education, research, and service. This role offers the opportunity to shape how applications serve our university community and directly impact the student, faculty, and staff experience. Job Related Minimum Required Education and Experience: Requires a bachelor's degree in a job related field and 5 or more years of job related experience, which may be substituted by an equivalent combination of job related certification, training, education, and/or experience. Preferred Qualifications: Master's degree in a related field. Certifications in database technologies (e.g., AWS Certified Database - Specialty, Oracle DBA, Microsoft Certified: Azure Database Administrator). Experience in higher education or large enterprise environments. Familiarity with data governance frameworks and metadata management. Knowledge of AI/ML-driven database optimization techniques. Knowledge/Skills/Abilities: Knowledge of database administration principles, performance tuning, and optimization. Proficiency in managing relational and cloud database platforms (e.g., SQL Server, Oracle, Snowflake, Azure). Understanding of data backup, recovery, and disaster recovery strategies. Experience with database security, access controls, and encryption. Familiarity with data integration, ETL/ELT, and automation processes. Ability to monitor and troubleshoot database performance and availability issues. Knowledge of data modeling, schema design, and query optimization. Understanding of institutional data policies, privacy, and compliance standards (FERPA, HIPAA). Strong analytical, documentation, and problem-solving skills.Ability to collaborate effectively with developers, data architects, and governance staff. Job Duty: Database Administration & Optimization Design, implement, and maintain relational and non-relational databases in cloud and on-premises environments. Optimize database performance, including indexing, partitioning, and query tuning. Monitor database performance and implement necessary improvements to enhance efficiency. Conduct capacity planning and ensure high availability and disaster recovery solutions. Essential Function: Yes Percentage of Time: 35 Job Duty: Data Security & Governance (Provide a minimum of one paragraph of detail.) Implement and enforce database security policies, access controls, and compliance with university and regulatory requirements. Support data governance efforts, including metadata management and data cataloging. Ensure database integrity and consistency across enterprise systems. Essential Function: Yes Percentage of Time: 20 Job Duty: Data Integration & ETL Management Design and manage ETL processes to support data warehousing and analytics initiatives. Collaborate with data engineers and developers to support integrations across multiple systems. Troubleshoot and resolve data pipeline issues to ensure seamless data flow. Essential Function: Yes Percentage of Time: 20 Job Duty: Cloud & Emerging Technologies Support the university's cloud migration strategy by evaluating and implementing cloud-based database solutions. Stay updated on emerging database technologies and recommend innovative solutions to improve data management. Implement automation and DevOps best practices for database management. Essential Function: Yes Percentage of Time: 15 Job Duty: Collaboration & Leadership Provide guidance and mentorship to junior database administrators and data engineers. Work closely with analytics, IT, and business stakeholders to understand data needs and optimize data solutions. Document processes, provide training, and contribute to the overall data strategy of the university. Essential Function: Yes Percentage of Time: 10 Safety Sensitive or Security Sensitive: No Hazardous weather category: Non-Essential Number of Vacancies: 1 Job Open Date: 12/05/2025 Job Close Date: 01/19/2026 Open Until Filled: No Special Instructions to Applicant: Positions are advertised for a minimum of five (5) business days on our job website. After five (5) business days, positions can be closed at the discretion of the department at any time . click apply for full job details