60 jobs found

Overview SENIOR LINUX SYSTEMS ADMINISTRATOR (VDEPT) Bowhead seeks a Senior Linux Systems Administrator to join our team in Dahlgren, VA. The Senior Linux Administrator is responsible for system administration and customer support of servers and workstations in a professional environment. Responsibilities Providing technical problem solving and in-depth consulting for system operations. Will work as part of a team responsible for administration and management of servers, end-user workstations, and potentially clustered systems operating in both unclassified and classified network environments. Analysis, design, and implementation of modifications to the system software in order to improve system performance, correct errors, or fulfill specific needs. Participate in planning new hardware acquisitions, developing operating policy, interacting with vendors, educating customers, and communicating and collaborating with other projects within the organization. Work closely with scientists and engineers to help them use workstations and servers to solve their computationally intensive problems. Support of individual user workstations and associated software will be required. Linux Admin will provide support for application installation, licenses management, software tracking/distribution and backup/recovery of system configurations and user data files. Assist users in applying for accounts, and approving user access. Qualifications High School Diploma required. Bachelors degree preferred. Minimum eight to ten (8-10) or more years of demonstrated experience in system administration of Linux-based servers and Linux-based workstations. Must have well-developed Linux system management skills. Must have experience with hardware experience with HP and Dell systems. Must meet and maintain a DoD 8570 Information Assurance Technical (IAT) Level II certification at time of hire. Must have demonstrated experience working in an environment with rapidly changing job priorities. Physical Demands: Must be able to lift up to 10-15 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must be able to maintain a security clearance at the Top Secret level. US Citizenship is a requirement for this contract.

Seeking a visionary CIO with deep Oracle Fusion expertise to architect, modernize, and scale mission critical systems across a global, high growth data center environment. This Jobot Job is hosted by: John Armel Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $300,000 - $400,000 per year A bit about us: We are seeking a dynamic and experienced Chief Information Officer (CIO) to join our client in the Energy industry. This is an exceptional opportunity for a seasoned professional to lead and drive our IT strategy, ensuring alignment with the business objectives of the organization. The CIO will be responsible for all aspects of our information technology and systems, including IT governance, enterprise technology strategy, and cybersecurity. The successful candidate should have a proven track record of leading IT transformation projects in complex environments and be comfortable operating at both strategic and operational levels. Why join us? Seeking a visionary CIO with deep Oracle Fusion expertise to architect, modernize, and scale mission critical systems across a global, high growth data center environment. Job Details 1. Develop and implement a customer-focused IT strategy that aligns with our business goals and objectives. 2. Lead the IT department in day-to-day operations, providing leadership for IT strategic initiatives. 3. Ensure the company's data remains secure by overseeing cybersecurity and maintaining up-to-date knowledge of threats and advancements in IT security. 4. Develop and manage the IT budget, ensuring cost-effectiveness and value delivery. 5. Establish IT policies and systems that will support the implementation of strategies set by upper management. 6. Build and maintain relationships with external IT vendors and service providers. 7. Analyze the business requirements of all departments to determine their technology needs. 8. Identify the need for upgrades, configurations or new systems and report to upper management. 9. Coordinate IT managers and supervise computer scientists, technicians and other professionals to provide guidance. 10. Control the IT department's output, user satisfaction and set goals to meet business needs. Qualifications 1. Bachelor's degree in Information Technology, Computer Science, Information Systems, or a related field; Master's degree preferred. 2. Minimum of 5 years of experience in a senior IT management role, preferably in the Energy industry. 3. Proven experience in IT strategic planning, organization, and development. 4. In-depth understanding of IT governance and operations. 5. Demonstrated experience in enterprise technology strategy and execution. 6. Solid understanding of data analysis, budgeting, and business operations. 7. Superior knowledge of IT systems and infrastructure. 8. Background in designing, developing, and implementing large scale IT projects. 9. Demonstrated ability to build consensus and work effectively within a cross-departmental team. 10. Excellent leadership and team management skills. 11. Strong understanding of project management principles. 12. Excellent interpersonal and communication skills, with a strategic vision and good judgment. 13. Experience with cybersecurity and risk management practices. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

JT4 SkillBridge Program - Programmer/Computer Scientist Internship About SkillBridge JT4 is partnered with the U.S. Department of War's SkillBridge Program, which is designed to provide internship opportunities to transitioning military personnel during their final 6 months of service, thus preparing them for a full-time civilian position once they separate. Note: This opportunity is open to transitioning military members only. Non-service members will not be considered for this position. JT4's SkillBridge Programmer Internship is a unique 60-90 day opportunity for transitioning service members to obtain thorough OTJ (on the job) training from JT4's top technical SME's. During the internship, the service member will be provided a training plan outlining weekly tasks and goals to be accomplished. The goal of the internship is to prepare the transitioning service member for a full-time Programmer role at JT4. Some examples of required Programmer duties and responsibilities are outlined below. Important: While the program is designed to prepare the service member for a full-time, civilian position, JT4 has no obligation to hire the intern on full-time or to continue the internship if it is determined that the intern does not meet expectations. ABOUT JT4, LLC JT4, LLC provides engineering and technical support to multiple western test ranges for the U.S. Air Force, Space Force, and Navy under the Joint Range Technical Services Contract, better known as J-Tech II. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges. JOB SUMMARY ESSENTIAL FUNCTIONS/DUTIES Under immediate supervision, converts data from project specifications and statement of problem and procedures to create or modify computer programs requiring and applying basic knowledge of programming techniques and computer systems. Employee will be responsible to perform the following functions/duties: Prepares flowcharts and diagrams to illustrate a sequence of steps that a program must follow and to describe logical operations involved Converts project specifications into a sequence of detailed instructions and logical steps for coding into a language readable by computers, applying knowledge of computer programming techniques and computer languages Designs and writes basic to moderately complex computer programs Uses computer-aided software tools, such as flowchart design and code generation, in each stage of system development Operates computer system to check out programs, troubleshoot and test systems Monitors performance of programs after implementation Analyzes, reviews, and alters computer programs to increase operating efficiency or to adapt to new requirements Prepares documentation to describe program development, logic, coding, and corrections Assists in developing user manuals to describe installation and operating procedures Provides technical assistance to program users as required Provides occasional work direction to subordinate department employees Performs related work as required. REQUIREMENTS EDUCATION, TECHNICAL, AND WORK EXPERIENCE Associates degree in Computer Programming or a related field; or equivalent technical training from an accredited academic institution, completion of a recognized certification program, or equivalent experience and demonstrated skills, knowledge, and technical competence in computer programming. Must have demonstrated proficiency at a basic level with required computer languages and a basic understanding of computer systems including networks, servers, and personal computers. In addition, a Programmer I must possess the following qualifications: Must possess some planning and organizing skills and demonstrate the ability to work under deadlines Must possess verbal and written communication skills sufficient to permit interaction with other employees as well as taking work direction from senior unit personnel Must qualify for and maintain a government security clearance Must possess a valid, state-issued driver's license DESIRED QUALIFICATIONS Strong foundation in C, C++, or C# Ideally 2+ years of practical programming experience OTHER RESPONSIBILITIES Each employee must read, understand, and implement the general and specific operational, safety, quality, and environmental requirements of all plans, procedures, and policies pertaining to their job. WORKING CONDITIONS Typical office environment with no unusual hazards, occasional lifting (up to 20 pounds), constant sitting while using the computer terminal, constant use of sight abilities while reviewing documents, constant use of speech/hearing abilities for communication, and constant mental alertness. DISCLAIMER The above statements are intended to describe the general nature and level of work being performed by personnel assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills required of persons so classified. Tasking is in support of a federal government contract that requires U.S. citizenship. Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license or other licenses / certifications and the inability to obtain and maintain the required clearance, license or certification may affect an employee's ability to maintain employment. SCC: JSD12; A1412TW

100% Remote! PhD required This Jobot Consulting Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80 - $150 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical. You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10-15 years of experience in data science, econometrics, or advanced analytics Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical- hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

This Jobot Job is hosted by: Amanda Preston Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $155,000 - $175,000 per year A bit about us: We are a global organization operating at the intersection of technology, data, and digital platforms, supporting products and services used by millions worldwide. Our teams build and operate highly scalable, cloud-native systems that power data-driven decision-making, advanced analytics, and machine learning across a diverse and complex ecosystem. With a strong emphasis on modern engineering practices, automation, and innovation, we invest heavily in the people and platforms that enable long-term growth and technical excellence. Why join us? Work at scale: Build and operate production systems that support large, globally distributed platforms and high-impact use cases. Technical ownership: Play a key role in shaping MLOps, DevOps, and cloud architecture standards across the organization. Modern stack: Work with Kubernetes, GCP, Terraform, CI/CD, and production machine learning systems. Real-world impact: Deploy and operationalize machine learning models that directly support business-critical workflows. Collaborative culture: Partner closely with experienced engineers, data scientists, and product leaders who value strong technical judgment. Growth and stability: Join a mature, well-funded environment that offers long-term career growth and technical depth without startup volatility. Job Details Role Summary Join an elite engineering team at a large, globally distributed organization building next-generation, data-driven platforms at scale. We are seeking a highly motivated and skilled Senior MLOps/DevOps Engineer to lead the architecture, deployment, and operation of modern machine learning and cloud-native systems. This role is critical in bridging Data Science and Platform Operations, ensuring machine learning models and core services are deployed reliably, scalably, and securely in production cloud environments. The position requires deep expertise in automation, cloud infrastructure, and the full machine learning lifecycle. Key Responsibilities MLOps Pipeline Ownership: Design, implement, and manage end-to-end MLOps pipelines for continuous training, deployment, monitoring, and versioning of production ML models (e.g., recommendation systems, content intelligence, or analytics platforms). Data Pipeline Design & Orchestration: Design, build, and maintain robust data ingestion and transformation pipelines using modern orchestration tools such as Dagster or Airflow. Kubernetes & Cloud Architecture: Architect, deploy, and maintain highly scalable, fault-tolerant infrastructure using Kubernetes (GKE) within Google Cloud Platform (GCP). DevOps & Automation: Champion DevOps best practices, including Infrastructure as Code (IaC) using Terraform or similar tools, and establish reliable CI/CD workflows. CI/CD Implementation: Configure and manage automated deployment and testing pipelines using GitHub Actions and related tooling to ensure fast, reliable releases. Core Development: Write clean, efficient, and well-tested Python code for automation, infrastructure tooling, and service integration. API & Service Deployment: Design, develop, and deploy high-performance Python APIs (FastAPI, Flask, or similar) to serve ML predictions and application services in production. Monitoring & Observability: Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana, cloud-native logging tools) to maintain system reliability. Security & Compliance: Implement security best practices, access controls, and compliance requirements appropriate for large-scale, enterprise environments. Collaboration & Mentorship: Partner closely with data scientists, software engineers, and product teams while providing technical guidance and mentorship to junior engineers. Required Qualifications 5+ years of experience in DevOps, Cloud Engineering, or related roles, including 2+ years focused on MLOps in production environments Advanced proficiency in Python for development, automation, and scripting Proven experience building and deploying production-grade APIs and backend services (FastAPI, Flask, Django) Strong SQL skills and experience designing and optimizing data models for relational and NoSQL systems (e.g., BigQuery, Cloud SQL) Hands-on experience with workflow orchestration tools (Dagster, Airflow) Expert knowledge of Docker and Kubernetes, including Helm and Kubernetes-native IaC tools (e.g., Crossplane); GKE experience strongly preferred Extensive experience within the Google Cloud Platform (GCP) ecosystem (Compute Engine, Cloud Storage, BigQuery, Pub/Sub, Vertex AI) Strong GitHub-based development workflows (branching, pull requests, code reviews) Solid understanding of network architecture, security principles, and large-scale data processing Excellent communication, collaboration, and problem-solving skills Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

A HealthTech company seeks Pricing Analyst This Jobot Job is hosted by: Danielle Liguori Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $90,000 - $105,000 per year A bit about us: We are seeking an experienced Price Analyst II with 5+ years of experience in pricing analysis, market research, and strategic pricing initiatives. This role focuses on developing pricing strategies, conducting advanced market analysis, and supporting revenue optimization efforts. The ideal candidate demonstrates proven analytical expertise, strong business acumen, and ability to translate complex pricing data into actionable business insights. Why join us? Hybrid Work Schedule - 2 days on site in Irvine Remote Available (must have experience working remotely) Tremendous growth opportunities Low Turnover / Great longevity Competitive Compensation Health benefits 401K match Flexibility Fantastic Company Culture Job Details The Senior Data Analyst turns complex data into actionable insights that drive strategic decision-making, operational efficiency, and profitability. This role partners closely with Accounting, Finance, and cross-functional stakeholders to identify trends, uncover opportunities, and support cost reduction and performance optimization initiatives. Key Responsibilities Perform advanced data cleaning and analysis on large, complex datasets Apply statistical techniques including hypothesis testing (ANOVA, chi-squared) and multivariate modeling Analyze results using statistical tools and deliver ongoing, executive-ready reporting Identify trends, patterns, anomalies, and root causes in complex data sets Translate analytical findings into clear, actionable recommendations related to growth, cost reduction, and operational efficiency Develop concise visuals, dashboards, tables, and written summaries for technical and non-technical audiences Work closely with DBAs, Data Scientists, Finance, and other business stakeholders to ensure data accuracy and integrity Develop and maintain data models aligned with business needs and company goals Lead or support data integration efforts across systems and platforms Create Business Requirements Documents (BRDs) with minimal direction Move projects through the SDLC with minimal supervision Participate in report specification, development, and testing Present complex analyses clearly to senior leadership and executive management Research and evaluate new tools and software for future analytical use Qualifications 3+ years experience Bachelor's degree in Data Science, Statistics, Computer Science, or a related field Intermediate proficiency in SQL (ability to perform stored procedures, temp tables, sub queries, variables, unions, CTE's, apply operator, while loops, etc. Advanced Excel Reporting: Mastery of Excel functions Basic Power BI understanding and proficiency, such as creating data models, creating advanced dashboards with bookmarks, cross filtering, etc. Experience with data modeling and data integration Strong skills in data visualization and dashboard development Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Opportunity to join the industries top AI Consulting firm Working with the world's top brands to execute data initiatives in artificial intelligence FULLY REMOTE This Jobot Job is hosted by: Craig Rosecrans Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $185,000 per year A bit about us: We are seeking a dynamic and experienced Senior Machine Learning (ML) Solution Architect to join our team. This is a unique opportunity to shape the future of our ML applications and contribute to the development of our technology stack. The successful candidate will be responsible for designing, implementing, and maintaining ML solutions that will have a direct impact on our business and customers. This is a permanent position that offers a challenging and rewarding work environment, where innovation and initiative are highly valued. Why join us? Competitive Base Salary Company paid health plan for employees Flexible Hours Very generous PTO Dental and Vision, FSA, HSA Small team, autonomy Many more great perks! Job Details Responsibilities: Design and build robust and scalable ML solutions to meet business requirements. Work closely with data scientists and engineers to implement and deploy scalable ML solutions into production. Develop and maintain data pipelines for large scale data processing. Use tools such as Spark, Snowflake, Python, and Scala to handle data extraction, cleaning, and transformation. Implement best practices for ML development, including testing, documentation, and version control. Collaborate with cross-functional teams to understand their needs and translate them into ML solutions. Provide consulting services to internal and external stakeholders on ML best practices and solutions. Use Terraform, Docker, and other tools to manage infrastructure and deploy ML models. Implement and manage CI/CD pipelines for ML solutions. Stay up-to-date with the latest developments in the field of ML and introduce new technologies and methodologies as appropriate. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum 5 years of experience in designing and implementing ML solutions. Strong programming skills in Python and Scala. Experience with data pipeline tools such as Spark and Snowflake. Proven experience in consulting, with excellent communication and problem-solving skills. Experience with infrastructure management tools such as Terraform and Docker. Experience in setting up and managing CI/CD pipelines. Strong understanding of ML algorithms and principles, as well as the ability to apply them in real-world situations. Excellent analytical and problem-solving skills, with the ability to handle complex data and ML challenges. Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders. Self-motivated and proactive, with the ability to work independently and as part of a team. Strong desire to learn and stay updated with the latest advancements in the field of ML. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Genesis10 is seeking a Data Scientist Sr or Lead. This is a 5-month contract to hire position with a client located in Columbus, OH. Compensation: $60.00-75.00/HR W2 Conversion Salary: $120k - $135k/Year Job Description: The AI Center of Excellence (CoE) is seeking a highly skilled Lead Data Scientist with deep expertise in modern AI technologies. The ideal candidate will apply advanced knowledge in machine learning, natural language processing, and artificial intelligence to design, develop, and deploy models that accelerate innovation and support strategic decision making. As part of the Enterprise Data and Analytics organization, the AI CoE drives measurable impact across the business through outcome focused project execution. This newly created role will be dedicated to AI Automation value streams and lead data science initiatives from concept through deployment. Responsibilities: Collaborate with the Product Owner to manage the end to end AI development lifecycle-requirements gathering, data sourcing, model development, proof of concept demonstrations, risk governance reviews, and production deployment across both on premises and AWS environments. Demonstrate strong self discipline and professional ownership in managing project activities, maintaining transparent communication with leadership, seeking managerial guidance when appropriate, and proactively surfacing risks, blockers, or resource needs to ensure timely delivery. Apply automation techniques to streamline manual processes, enhance productivity and accuracy, and develop reusable, scalable self service tools and assets. Stay current with emerging machine learning, cloud, and AI technologies, driving innovation by evaluating and integrating new capabilities into existing workflows and products. Requirements: PhD or Master's degree in Statistics, Economics, Data Science, or related field. Three to Five years related work experience in AWS cloud machine learning or a similar AI platforms, with familiarity in AWS Sagemaker, Lambda, S3, Athena, etc. Proficiency in one or more programming languages, including Python (preferred) or R, Spark, and other modern data science tools. Working knowledge of Large Language Models (Llama, Claude, Titan), including experience with frameworks such as LangChain, vector databases, embeddings, and prompt engineering. Preferred Qualifications Willingness to step outside traditional modeling tasks to solve broader technical or business challenges in support of team and organizational goals. Hands on experience with LLM fine tuning Practical understanding of advanced Retrieval Augmented Generation (RAG) methods such as MMR, multi vector retrieval, RAG fusion, HYDE, self RAG, and retrieval evaluation frameworks. Knowledge and practical experience with Agentic AI and agentic workflows, including task orchestration, multi agent collaboration, tool use agents, and workflow automation patterns. Hands on experience with advanced AWS AI/ML services such as Bedrock, JumpStart, Textract, and related ML orchestration capabilities. Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! About Genesis10: Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20 years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website . Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

100% Remote! PhD Required! This Jobot Consulting Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80 - $200 per hour A bit about us: We are a healthcare technology company looking for a senior, highly strategic Data Scientist role for someone with a strong econometrics, statistics, and economics background who is still deeply technical. You will focus on: Translating complex data into strategic insights Supporting budget planning and financial decision-making Partnering with senior leadership (Chief Data Officer) Taking deep analytical work from concept to production Location: Remote Project Duration: 6-1 year with oppportunity to extend Why join us? High Caliber team Exciting work Edge AI frameworks for real-time intelligence across industries Image Processing pipelines for diagnostics, automation, and quality Mapping & Geospatial AI systems Healthcare forecasting & analytics platforms SDLC accelerators reducing development cycles dramatically Enterprise-grade Data Engineering platforms Job Details Key Responsibilities Advanced Econometrics & Financial Modeling expertise Full-stack AI/ML experience (research production) Strategic judgment on model architectures and trade-offs Hands-on engineering ability (production-grade code) PhD-level rigor, patents, or experience at leading tech/financial innovators Required Background & Experience PhD preferred (Econometrics, Economics, Statistics, Applied Math, or related field) 10-15 years of experience in data science, econometrics, or advanced analytics Experience in US Healthcare - with Clinical Asset Management Strong background in econometrics, statistical modeling, and economic analysis Proven experience working on strategic initiatives, not just analysis Experience partnering with finance leaders (CFOs, finance teams) on budgeting and planning Still hands-on and technical- hands on engineering able to dive into data and models personally Nice to Have Healthcare or healthtech exposure (not mandatory) Experience working with asset-intensive industries Prior consulting background Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Urgently hiring Senior Data Scientist! This Jobot Job is hosted by: Kendall Kaing Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $80,000 - $150,000 per year A bit about us: Are you interested in working for the world's largest cannabis market with a footprint that covers the entire breadth of the state of California? Are you someone who wants to be part of the growth of a fast-growing industry? At client company, our mission is clear: to provide the ultimate one stop shop cannabis experience by offering exceptional customer service and diversified products. We strive to build long-term customer loyalty. We're building a consumer-centric organization that is focused on sharing the transformational potential of cannabis with the world. Our product line is one of the best-selling cannabis brands in the market today and has claimed the title of the best-selling vape brand across all BDSA-tracked markets and best-selling brand overall in the California market! We are rooted in California and have expanded our operations across the United States, with even more growth on the horizon! Additionally, we're building distribution networks to bring our products to over 60 countries worldwide. We recognize that our employees are at the center of our success, and we take pride in a corporate culture that emphasizes our core values: Influence, Inspire, Innovate, Win, & Grow! Our employees come from a wide range of retail backgrounds, each bringing their own unique skills and talents to the table as we work together to continue our incredible growth. If you are interested in partaking in the journey of building a nationally recognized and leading brand, we want to hear from you! Why join us? Benefits & Compensation: Additional details about compensation and benefits eligibility for this role will be provided during the hiring process. All employees are provided competitive compensation, paid training, and employee discounts on our products and services. We offer a range of benefits packages based on employee eligibility, including: Paid Vacation Time, Paid Sick Leave, Paid Holidays, Parental Leave. Health, Dental, and Vision Insurance. Employee Assistance Program. 401k with generous employer match. Life Insurance. Job Details Data Scientist Why this role matters You'll architect, build, and operate the data infrastructure that powers analytics, machine learning, and operational reporting across the organization. This is a hands-on role for a data scientist who thrives at the intersection of engineering, modeling, and production-grade systems. What you'll do Design and evolve our lakehouse architecture (Delta Lake on AWS/Azure), including storage layout, compute strategy (Databricks, EMR, Synapse), and performance SLAs Build robust batch and streaming data pipelines using Apache Spark (PySpark/Scala), Databricks Workflows, Azure Data Factory, and event-driven integrations (Kinesis, Event Hubs, Kafka) Develop and maintain analytical and ML-ready data models, semantic layers, and dimensional schemas for BI and production use Implement observability and reliability features including custom Spark metrics, anomaly detection, logging, and automated data quality checks Optimize compute and storage performance through cluster tuning, caching, partitioning, and format selection, with measurable cost savings Enforce data governance policies including RBAC, row-level security, cataloging, lineage tracking, and compliance with GDPR, HIPAA/FHIR, and CCPA/CDPA Collaborate with analytics, product, and platform teams to define SLAs, manage incident response, and guide data contract best practices Mentor junior engineers and lead design reviews, setting standards for scalable, maintainable data systems What you bring 8+ years of experience in data science or data engineering Expert-level Python and SQL; working knowledge of Scala/Java for Spark 3-5+ years of experience with Apache Spark and Databricks (including Delta Live Tables and performance tuning) Strong cloud experience in AWS (S3, EMR, Glue, Lambda, Kinesis) and/or Azure (ADLS Gen2, ADF, Event Hubs, Synapse) Experience with orchestration tools (Airflow, ADF) and transformation frameworks (dbt) Familiarity with data warehouses such as Snowflake, Redshift, or Databricks SQL Proven track record of cost and performance optimization in cloud data environments Solid foundation in data modeling, CI/CD, Docker/Linux, and Git Ability to translate business needs into scalable data products and lead projects end-to-end Nice to have Experience with custom Spark listeners, low-latency streaming, or event-driven architectures Exposure to healthcare data pipelines (FHIR) and DLT troubleshooting Dashboarding experience with Power BI, Tableau, or Looker Familiarity with governance frameworks and MLOps (feature stores, model monitoring) Our stack Databricks, Spark (PySpark/Scala), Delta Lake, Airflow, ADF, dbt, AWS (S3/EMR/Glue/Kinesis), Azure (ADLS/Synapse/Event Hubs), Terraform, GitHub Actions, Docker, CloudWatch, REST Success in 6-12 months looks like Reliable, observable pipelines with <1% failure rate and clear SLAs 30-50% faster time-to-insight for key analytics use cases Significant cost savings from optimized compute and storage High stakeholder trust in platform reliability and alerting systems Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Senior Flight Dynamics Engineer (5222C), Space Sciences Laboratory - 83690 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Space Sciences Laboratory (SSL) is an Organized Research Unit (ORU) of the Berkeley campus reporting to the Vice Chancellor for Research. SSL's primary goal is to foster research in space-related sciences and to provide education for the next generation of space scientists. Research at SSL, led by Berkeley faculty and SSL Senior Fellows, focuses on experiments and observations carried out in space as well as theoretical and basic research. Position Summary The Mission Operations Team at the Space Sciences Lab operates multiple NASA science spacecraft now, and is funded to operate additional ones through this decade, and beyond. We currently operate spacecraft in Low Earth orbit, Lunar Orbit, at Earth-Sun Lagrange distance, and Mars, all AT THE SAME TIME. We are looking for a new Senior Flight Dynamics Engineer to help us with the essential products we need to (among other things) ensure that our spacecraft get to where they need, and maneuver as appropriate to collect science data for our important missions. The person we hire will provide spacecraft navigation and mission design for our existing and upcoming missions. You will work in a small and nimble team on multiple missions and proposals at once, and on a timescale where you will get to see your work's impact. Application Review Date The First Review Date for this job is: 01/27/2026. ResponsibilitiesProvides mission operations support for ongoing space missions. Generates and analyzes orbit and attitude determination solutions and mission planning products. Provides spacecraft maneuver planning, analysis, and calibration for missions with propulsive capabilities.Designs, develops, and evaluates complex flight dynamics and navigation systems used in the operations of national space science assets.Performs complex analysis on a variety of flight dynamic and orbital mechanics problems, including the definition of related mission requirements, for current and future space science missions.Collaborates with other aerospace engineering specialists, and outside collaborators, to develop and maintain the flight dynamics ground systems.Consults and collaborates with Principal Investigators (PIs) and other aerospace engineering specialists in the development of new mission concepts.Responds to spacecraft anomalies, from the perspective of the flight dynamics specialty, to assist in the investigation and recovery operations.Other duties as assigned.Required Qualifications Thorough skills in the design, development, and navigation of spacecraft trajectories. Demonstrated proficiency ("specialist") in at least two of the following: spacecraft navigation, trajectory determination, or mission design.Experienced user of either Mission Analysis, Operations, and Navigation Toolkit Environment (MONTE), General Mission Analysis Tool (GMAT), Copernicus, or other related mission design and trajectory analysis systems.Thorough knowledge of Python, MATLAB, LINUX, VS Code and GitLab.Past systems knowledge of other engineering specialties (e.g. Propulsion, Avionics, etc.) involved in the design and development of spacecraft. Demonstrated ability to communicate and present information to technical and nontechnical personnel at various levels in the organization. Must be able to travel up to 5% as needed for work events.Must be able to travel within the US to support in-person meetings and work on EAR programs.Advanced degree in related area and/or equivalent experience/training.Preferred Qualifications Experience with NASA missions.Proficiency InfluxDB and MySQL for data management and Grafana for building monitoring dashboards.Post-graduate level course work in related area. Salary & Benefits For information on the comprehensive benefits package offered by the University, please visit the University of California's Compensation & Benefits website. Under California law, the University of California, Berkeley is required to provide a reasonable estimate of the compensation range for this role and should not offer a salary outside of the range posted in this job announcement. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, analysis of internal equity, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience. This is a full-time (40 hours/week), career position that is eligible for UC Benefits. This is an exempt monthly-paid position. How to ApplyTo apply, please submit your resume and cover letter.Other InformationThis position will be governed by the terms and conditions in the agreement for the Research and Public Service Professionals, represented by the UAW.This is not a visa opportunity. This position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.Conviction History Background This is a designated position requiring fingerprinting and a background check due to the nature of the job responsibilities. Berkeley does hire people with conviction histories and reviews information received in the context of the job responsibilities. The University reserves the right to make employment contingent upon successful completion of the background check. SB 791 and AB 810 Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer. "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer. For reference, below are UC's policies addressing some forms of misconduct: UC Sexual Violence and Sexual Harassment Policy UC Anti-Discrimination Policy Abusive Conduct in the Workplace Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-815666a1212d1e46abe0e746d1e0538e

Job Duties: Design and build a data warehouse using computingbased data cloud (Snowflake) for machine learning, data analysis, self-serve analytics and reporting needs. Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses. Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights. Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs). Identify and work on improvements by automating manual processes to optimize data delivery, re-design infrastructure for more scalability using python & sql. Collaborate with cross-functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model. Create ad-hoc report/data visualizations based on user requirements. Participate in ETL flow design reviews and recommend solutions to improve processes. Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner. Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge. Identify issues or gaps and suggest improvements to the team processes. Provide support for customer requests for all the products handled by the team. Full-time telecommuting is an option. Minimum Requirements: Masters degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1. Data warehouse design and dimensional modeling 2. Extract, Transform, Load (ETL) 3. SQL 4. Python 5. Data Visualization (Tableau or Power BI) 6. Gitlab 7. Azure 8. PySpark 9. OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake) 10. Machine Learning 11. Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $177,813.00 - $195,594.00 per annum. Submit resume with references to: Req.# 53.2 at: ATTN: HR,

Research Software EngineerData Scientist (6104C) - 81524 About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The problems facing our environment are becoming increasingly complex and they are outpacing efforts to address them. This includes challenges ranging from climate change, to the global extinction crisis, to issues associated with environmental justice. We must act both smarter and faster to head off severe consequences for people and the planet. Data Science approaches offer a transformative opportunity to increase both the rate and impact of environmental problem-solving. Launched in 2022, the Eric and Wendy Schmidt Center for Data Science and Environment (DSE) at Berkeley ( ) is a partnership between UC Berkeley's Department of Environmental Science, Policy, and Management and the Division of Computing, Data Science, and Society, with the financial support of Eric and Wendy Schmidt, working to take on these challenges. The Center aims to contribute to the global community who are similarly working to take on these challenges in four key areas: Generating ground-breaking computational/data science discoveries motivated by pressing environmental questions; Producing scalable solutions to critical threats facing the environment, powered by open-source tools; Deploying these solutions widely, taking advantage of modern cloud infrastructure and open data/open software, and maintaining a design philosophy of vendor neutrality to ensure that community needs are prioritized; Creating an enhanced pipeline of young environmental leaders connected to local communities and organizations to meet their needs and translate our research findings and technological developments into practical impacts. The success of this effort relies on people, our ability to build upon the success of others, and to make new contributions that allow others to build on what we create. The Schmidt Center for DSE is committed to diversity, equity, inclusion, and belonging. We aim to foster an environment that is safe and open to all work together with RCNR, CDSS, and Campus to continually learn and grow in our ability to do so. Position Summary At Data Science & Environment (DSE), our engineers play a critical role in developing and delivering all technical aspects of our project efforts. We are currently looking for a candidate with strong software development experience who can also understand and support the workflows and methodologies used in biodiversity data analysis and enhancing the accessibility of bioacoustics research methods. This work is in collaboration with our partners to advance the software of Soundhub (beta: ) - a platform to store, manage, and analyze bioacoustic data. This position will play a critical role in ensuring the performance, scalability, and reliability of the data infrastructure of Soundhub and related research workflows. You have a passion for using creative coding methods to help develop and implement workflows, visualizations, and other interactive data-enabled solutions. You're driven by a commitment to protecting the environment and wildlife, and you channel that passion into bringing people together to improve tools and advance training in bioacoustic methods. As an experienced data scientist/research software engineer, you are motivated to work across diverse disciplines, advance research, and collaborate with users to ensure that human-centered design informs every stage of software development. You will lead specific projects and also engage deeply with a collaborative technical team, and opportunities to contribute your expertise across multiple projects and program areas. For examples of our project areas, learn more about our current work at . Application Review Date The First Review Date for this job is 1/21/2026 Responsibilities Plans, designs, develops, modifies, debugs, deploys and evaluates data science / computational science research software technologies and visualizations. Ensures performance, scalability, and reliability of data infrastructure and software tools developed by the core technology team. Works closely with Program Manager, Senior Research Software Engineers, and domain scientists where applicable to perform these responsibilities and uses domain science knowledge where relevant. Analyzes existing software, scientific/data science code and interactive/static visualizations or works to formulate new logic for existing systems and algorithms. Contributes to research in biodiversity monitoring workflows, with an emphasis on improving accessibility of bioacoustics research methods. Works closely with Program Manager, Senior Research Software Engineers and the program team to develop data-enabled software solutions to a given environmental challenge. Understands and applies open research and development practices, community standards and department policies and procedures relating to work assignments. May serve as technical lead for a research and development project of moderate scope. Negotiate research and development project plans with interested collaborators, stakeholders and users as applicable. Contributes research and technical content to peer-reviewed publications and program outputs. Works both independently and in collaboration with the program team and stakeholders to design and implement technical solutions to environmental challenges. Works closely with the team Program Manager to prioritize work needs and opportunities to address given needs. Documents usage modes, capabilities, characteristics and performance of research codes/software/data visualizations. Publishes and presents, based on research and development work, results about data science techniques and tools, performance and algorithm enhancement in research venues to attract usage from domain science communities, or to promote latest technologies within the community. Leads collaborations with partners, researchers, and academic institutions to advance shared goals. Communicates technical program details effectively with a wide variety of audiences to ensure understanding and engagement with program stakeholders. Required Qualifications Intermediate knowledge of open data science/research software development Advanced skills, and demonstrated experience associated with deployment of data science applications, tools, and visualizations. Demonstrated ability to regularly interface with management. Demonstrated ability to contribute research and technical content to program outputs. Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences. Proven skills and experience in independently resolving broad computing/data problems using introductory and/or intermediate principles. Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. Proven ability to successfully work on multiple concurrent projects. Proven ability to understand research computing/data needs, mapping use cases to requirements and how systems/software/infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions. Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators. Bachelor's degree in related area and/or equivalent experience/training. Preferred Qualifications Experience or interest in contributing to the development of applications that analyze biodiversity data, including bioacoustic data. Experience with neural networks for classifications Experience or interest in ethical considerations of data science methodologies, including open practices and data sovereignty . click apply for full job details

Senior Data Scientist - Genetics 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 Senior Data Scientist - Genetics Job Profile Title Job Description Summary The UPenn department of genetics is seeking a Senior Data Scientist for clinical genomic pipeline design and implementation. Job Description The successful candidate will be working with a broad team of quantitative analysts, including Statisticians, Data Scientists, Clinical and Basic trainees, and other bioinformaticians. Their role will involve developing and implementing new quantitative strategies to improve our understanding and ability to diagnose genetic disorders through a large-scale genomic clinically grade testing. Senior Data Scientists are passionate about applying their knowledge of biology and of methods for molecular, cellular or radiologic data-analysis to uncover general principles of genetic disorders and use these to create clinically useful biomarkers. They will develop, extend and apply computational pipelines for data-analysis to patient cohorts ranging from tens of individuals to hundreds of thousands. These will be executed at scale via distributed software solutions on both local HPC and cloud-based assets. Our datasets comprise petabytes, and are growing rapidly, linked to key clinical endpoints. This requires a strong background in biology to help ensure the right questions are asked, but linked to strong technical and personal communication skills, to help ensure insights are broadly adopted and appropriate analyses are performed. You may work with molecular (WGS, panel-sequencing, RNA-Seq, proteomic) or imaging (digital pathology, radiomic) data, and practical experience in one of these two areas is essential. Beyond your strong inter-personal skills and computer science background, you will have experience with implementation skills at least one of R, Perl or Python. You will be comfortable in UNIX/Linux environments and producing well-documented code. Multi-year experience (>10years) with cloud-computing or HPC is essential. Master of Science and 1 to 2 years of experience, or an equivalent combination of education and experience required. Ph.D. preferred. This position is contingent upon grant funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $100,000.00 - $160,000.00 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: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child, such as travel or court fees, for up to two adoptions in your household. To learn more, please visit: Equal Employment 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. To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-d179e9077aaade49a4a0c65b646e4d66

Senior Curriculum Developer - Community for Rigor (C4R) 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 Senior Curriculum Developer - Community for Rigor (C4R) Job Profile Title Manager Research Project B Job Description Summary The Community for Rigor (C4R - ) is a growing and innovative team at the University of Pennsylvania with the goal of making science more rigorous through leading-edge educational materials. There is a growing recognition that science could be made more efficient and impactful, by addressing research problems such as: failure to replicate, poor documentation, non-open or gatekeeping of data, and ineffective research questions. Community for Rigor is a 5-year funded project from NIH NINDS, and operates as a hub that coordinates the efforts of partner institutions from many leading universities. Our vision is to empower scientists to do reliable, rigorous research, through inclusive pedagogy, and in collaboration with a vibrant global community. We are seeking a Senior Curriculum Developer that will be responsible for collaborative creation of training materials, suitable for scientists of all levels and career stages. As part of the Curriculum Team at C4R, you will work alongside internal teams and our external partners to design, develop, deploy, assess, and revise educational content. In addition to empowering scientists, we also aim to empower every member of our team, through a supportive, inclusive, and open working environment. C4R fosters the success of each individual and team through a variety of professional development and peer learning opportunities. Job Description Responsibilities Work alongside leading subject matter experts, professional educators, rigor champions, technologists, and more, to create the next generation of engaging and effective educational content. Contribute to shared projects as part of C4R's overall mission (e.g. provide feedback on design and user experience of web-based interactive components, evaluate existing educational units, and integrate feedback in future versions). Be a flexible and adaptive team player, and work alongside different entities at C4R, the Kording Lab, Penn, and our partners. Communicate effectively across different teams and individuals, including giving and receiving constructive feedback and actionable guidance. Support C4R in implementing its values throughout our work and our processes. Present C4R content to audiences when needed (including instruction to test audiences) and travel to conferences to represent C4R ( travel requirement Required Qualifications Master's degree and a minimum of three years of experience teaching in a higher-education setting or an equivalent combination of education and experience. Preference for background in Neuroscience or related field. Awareness of rigor and reproducibility issues, especially in the biomedical sciences Familiarity with evidence-based pedagogy and instructional design. Empathy with our learner audience and meeting them "where they're at". Strong writing and documentation skills, including providing written feedback and updating internal knowledge base documents. Ability to write effective copy, instructional text, audio/visual scripts, etc. Preferred / Nice-to-Have Certified Instructor for The Carpentries or similar certification. Familiarity with explicit teaching / explicit instruction. Familiarity with project management tools or systems ( Trello, Asana, Jira, etc.). Experience creating educational multimedia (graphics, audio recordings, video clips, interactive simulations). Resume and Cover Letter Description Please provide a resume and cover letter in your application. We use these documents to understand your experience and who you are as an individual. Your resume should include recent positions, descriptions of what you did in each role, and any relevant skills. Your cover letter should describe why you are interested in joining C4R, your connection to its mission, how your prior experience has prepared you for the various aspects of this role (technical background, leadership experience, etc), and (research background, pedagogical experience, etc), and your approach for creating engaging and effective educational materials. Please keep cover letters to two pages or less. Applications without a cover letter will not be considered. Timeline We intend to have the position start in early to mid February. Please indicate when you are able to start in your application materials. Job Location - City, State Philadelphia, Pennsylvania Department / School School of Engineering and Applied Science Pay Range $66,000.00 - $90,000.00 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: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community . click apply for full job details

Position OverviewThe Mass Spectrometry and Analytical Proteomics Laboratory (MSAPL Core) is seeking a highly motivated and experienced person to join the MSAPL core. The Assistant Research Senior is a research resource/collaborator in the utilization of the techniques and instrumentation of mass spectrometry in the analysis of proteins and protein mixtures, small molecule analysis. This scientist operates high resolution hybrid mass spectrometers in-line with liquid chromatography (LC devices). Instruments include the following Thermo Orbitrap Eclipse Tribrid Mass Spectrometer equipped with nano-LC system ACQUITY Premier/Xevo G3 system-time-of-flight mass spectrometer equipped with Acquity premier UPLC pump Thermo Q Exactive HF hybrid quadrupole-Orbitrap Mass Spectrometer with Vanquish UPLC Thermo TSQ Altis Plus Triple Quadrupole Mass Spectrometer with Vanquish UPLC Waters LCT Premier Mass Spectrometer Waters Quattro Micro-GC Mass Spectrometer In addition, basic understanding of mass spectrometry technology and utilization of software, searching and general data analysis are required. Implementing and optimizing sample preparation strategies for omics analysis are required. In addition to conducting experiments, this person participates in report writing and providing results and data to collaborators/clients. Training clients in data analysis, lab software and instrumentation is on as needed basis. In addition to scientific duties responsibilities for this position include instrument maintenance and scheduling, performance quality control, data storage and retrieval, billing for services rendered, supply ordering, interfacing with instrument suppliers, engineers and university support personnel.Job Description 30% - This scientist operates high resolution hybrid mass spectrometers and associated high performance separation devices. 20% - Utilization of software for quantitation, searching and general data analysis. 20% - Implementing and optimizing sample preparation strategies for omics analysis. 15% - In addition to scientific duties responsibilities this position includes instrument maintenance and scheduling, performance quality control, data storage and retrieval, billing for services rendered, supply ordering, interfacing with instrument suppliers, engineers and university support personnel. 10% - Conducting experiments and documentation, including report writing. 5% - Training clients on data analysis lab software and instrumentation on a as needed basis.Position RequirementsPhysical Requirements (with or without accommodation): Standing or walking for more than a combined total of four hours/day to do bench work in various labs. Lifting of up to 20 pounds, with frequent lifting and carrying of up to 10 pounds of lab supplies. Use of both hands to perform experiments in the lab. Sitting for six hours out of an eight-hour workday while completing analysis. Required Qualifications Bachelor's degree and three (3) years of additional experience in the field/area of research. Two (2) years of experience in analytical techniques for biochemistry or chemistry. One (1) year of experience troubleshooting experiments/instruments. One (1) year of experience with data analysis. Two (2) years of experience documenting and following procedures while utilizing safe laboratory practices. Effective written communication skills as evidenced by application materials. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge, analytical skills and professional competencies necessary to perform the duties of the position. The level of degree is commonly recognized as the standard qualification for similar roles in the public and private sector, ensuring that the university remains competitive with industry aligned practices, enhances collaboration with external partners, and supports the delivery of services and programs that meet professional and market-driven expectations. Preferred Qualifications Experience in sample preparation for omics analysis by mass spectrometry as evidenced by application materials. Experience in Mass Spectrometry as evidenced by application materials. Experience with software tools, especially search engines as evidenced by application materials. Additional Candidate InstructionsIn addition to the online application, the following documents are required to be considered for this position: Cover letter describing how you meet the required and preferred qualifications.Resume.List of three (3) professional references. Only complete applications will be considered. Application review begins Monday, January 5th 2026 and will continue until a qualified pool of applicants are identified. Contact Information to ApplicantsAnita Saraf Email: Phone: Advertised Salary Range$40,000 - $55,000 based on education and experienceApplication Review BeginsMonday January 5, 2026Anticipated Start DateMonday March 9, 2026 Apply to Job

Senior Data Scientist, Wharton Graduate Division 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 Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 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: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . 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

Data Analyst C (Immune Health Institute) 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 Analyst C (Immune Health Institute) Job Profile Title Data Analyst C Job Description Summary The University of Pennsylvania is a national leader in advancing knowledge of the basic immunology of inflammation, autoimmunity, cancer, transplantation, and infection. Within Penn, the newly created Institute for Immunology and Immune Health (I3H) aims to bring together fundamental immunology and translational research with computational infrastructure to scale and integrate immunological knowledge into the electronic medical record. I3H is seeking a skilled Data Analyst to join our multi-disciplinary team. Under the supervision of a Senior Data Analyst, and in collaboration with other programmers, immunologists and technicians, the employee will develop, maintain and deploy analysis pipelines that produce actionable insights from the large-scale datasets generated by the Institute. Prior experience with immunology assays such as single-cell cytometry is not required, but it is expected that familiarity and fluency with these data modalities and their biological interpretation will be developed over time. Job Description Job Description: The multidisciplinary team at the Institute for Immunology and Immune Health is looking for a self-motivated, detail-oriented data analyst who will work with a team of programmers, immunologists, and clinicians to support day-to-day operations and analytics pipeline development. The ideal candidate is passionate about both exploratory and production level data analysis and is interested in developing a common language with the immunologists, clinicians, and wet bench scientists whom the analytics effort supports. Develop a detailed understanding of existing pipelines for quality control, analysis and interpretation of immunological data, and deploy them to new data that Immune Health is continuously generating Contribute code to new pipelines and functionalities Prepare results in written, tabular and graphical summaries, to help stakeholders make decisions and support publications Communicate frequently with the team to ensure that the computational work reflects biological and clinical goals. This includes generating reports tracking projects' progress. Be flexible and adapt workflows to shifting priorities and requirements Qualifications BA/BS in computer science or a quantitative discipline with at least 2-3 years of experience in data analysis, or equivalent combination of education and experience. Experience with data wrangling and analytics in R Good understanding of data structures and algorithms Ability to communicate clearly and concisely, including written documentation and data visualization Interest in developing a basic fluency in the assays and data types used for immunology research Preferred: Experience with Python, C++ or the command line Experience working with single-cell cytometry, transcriptomics, genomics or related biological data Position is contingent upon continued funding. Job Location - City, State Philadelphia, Pennsylvania Department / School Perelman School of Medicine Pay Range $61,000.00 - $73,581.00 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: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired, you won't have to provide proof of good health or be subject to underwriting requirements. Eligible family members must always provide proof of good health and are subject to underwriting. Wellness and Work-life Resources: Penn is committed to supporting our faculty and staff as they balance the competing demands of work and personal life. That's why we offer a wide variety of programs and resources to help you care for your health, your family, and your work-life balance. Professional and Personal Development: Penn provides an array of resources to help you advance yourself personally and professionally. University Resources: As a member of the Penn community, you have access to a wide range of University resources as well as cultural and recreational activities. Take advantage of the University's libraries and athletic facilities, or visit our arboretum and art galleries. There's always something going on at Penn, whether it's a new exhibit at the Penn Museum, the latest music or theater presentation at the Annenberg Center, or the Penn Relays at Franklin Field to name just a few examples. As a member of the Penn community, you're right in the middle of the excitement-and you and your family can enjoy many of these activities for free. Discounts and Special Services: From arts and entertainment to transportation and mortgages, you'll find great deals for University faculty and staff. Not only do Penn arts and cultural centers and museums offer free and discounted admission and memberships to faculty and staff. You can also enjoy substantial savings on other goods and services such as new cars from Ford and General Motors, cellular phone service plans, movie tickets, and admission to theme parks. Flexible Work Hours: Flexible work options offer creative approaches for completing work while promoting balance between work and personal commitments. These approaches involve use of non-traditional work hours, locations, and/or job structures. Penn Home Ownership Services: Penn offers a forgivable loan for eligible employees interested in buying a home or currently residing in West Philadelphia, which can be used for closing costs or home improvements. Adoption Assistance: Penn will reimburse eligible employees on qualified expenses in connection with the legal adoption of an eligible child . click apply for full job details