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The University of Chicago's Center for Translational Data Science seeks a Program Operations Analyst to support biomedical data and software platform development used by researchers in cancer genomics.
Reporting to the co-Principal Investigator, you will collaborate with technical leads and work across scientific, engineering, and operational teams to shape roadmaps, manage dependencies, and keep releases on track. This role emphasizes proactive communication and practical problem solving.
BSD CTD - GDC Project Management
The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https://stats.gen3.org/, and https://ctds.uchicago.edu/.
The Program Operations Analyst supports the development and operation of innovative biomedical data and software platforms that researchers rely on to advance cancer genomics. Reporting to the co-Principal Investigator and working in close partnership with the technical leads, the role contributes to planning, delivery, and communication across scientific, engineering, and operational teams, and serves as a point of contact for external partners. Day to day, this position involves helping shape project and roadmap plans, identifying dependencies and risks, and keeping data and software releases on track. It also includes bringing the right people together and turning information into clear reports and proposals, in coordination with the Center's business operations and finance teams where needed. The Program Operations Analyst collaborates with the team to think through open questions and help develop practical solutions. Along the way, the Program Operations Analyst will gain familiarity with the software development lifecycle, data center infrastructure management, cancer genomics, and how shared data accelerates research. The role is well suited to someone who is curious, organized, and analytical, and who enjoys solving problems, takes initiative, and is interested in how research and technology come together.
Administration & Management Role Impact Individual Contributor Scheduled Weekly Hours 40 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $60,000.00 - $85,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting.
Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.
Information about the benefit offerings can be found in the Benefits Guidebook.
The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case‑by‑case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
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