Department
About the Department
Job Summary
Responsibilities
• Provide analytic leadership for complex epidemiologic, clinical, administrative, and registry-linked datasets, including development and implementation of analytic plans in collaboration with the Principal Investigator.
• Ensure analytic rigor, reproducibility, and clear documentation of code, workflows, and outputs, support interpretation and visualization of results for manuscripts, presentations, and grant applications.
• Coordinate scientific operations across multiple research projects and grants, managing timelines, milestones, and deliverables in alignment with funded aims.
• Serve as a scientific liaison among team members and collaborators across institutions and disciplines; identify and troubleshoot analytic, scientific, or operational challenges.
• Lead and oversee data governance and regulatory coordination, including DUAs, MOUs, data sharing agreements, and support for IRB submissions and compliance.
• Contribute substantively to grant applications, progress reports, and manuscripts, including methods, analytic plans, preliminary data, and coordination of co-authors.
• Support strategic development of the research program by identifying opportunities to enhance analytic capacity, data infrastructure, collaborations, and funding.
• Serves as a resource for collecting data and performing analysis. Facilitates and promotes a research project by providing scientific or intellectual information.
• Trains and mentors laboratory personnel.
• Performs other related work as needed.
Minimum Qualifications
Education:
Work Experience:
Certifications:
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Preferred Qualifications
Education:
• PhD in epidemiology, biostatistics, public health, environmental health sciences, data science, or a related field.
• Demonstrated experience analyzing complex, large-scale, or linked datasets.
• Experience navigating data governance and regulatory requirements for human subjects research.
• Strong organizational, project management, and communication skills.
• Ability to work independently while coordinating across multiple projects and collaborators.
Preferred Competencies
• Experience with NIH-funded research, including multi-project or center-style grants.
• Familiarity with registry linkages, administrative data, or high-resolution omics data.
• Prior experience managing DUAs, MOUs, or data sharing agreements.
• Proficiency in statistical programming languages (e.g., R, SAS, Python).
Working Conditions
• Office-based.
Application Documents
• Resume (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Pay Rate Type
FLSA Status
Pay Range
The included pay rate or range represents the Universitys good faith estimate of the possible compensation offer for this role at the time of posting.
Benefits Eligible
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.
Posting Statement
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 Universitys 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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