Senior Epidemiology Data Scientist

The University of Chicago is seeking a Senior Epidemiology Data Scientist to provide high-level epidemiology and data analysis support within Lilly Cheng-Immergluck’s Lab. In this role, you will help design and deliver research studies focused on infectious disease prevention, combining biostatistical expertise with data product development and reproducible analysis pipelines.

What You’ll Do

• Lead development of data products in line with specifications set through collaborative meetings with PIs and co-investigators.
• Oversee and organize data quality control activities and maintain clear provenance for both clinical and non-clinical data throughout dataset joining and analysis.
• Apply deep knowledge of biostatistical methods to analyze complex, large-scale datasets and derive actionable information.
• Develop and maintain infrastructure to integrate data across sources, including clinical data, biospecimens, and administrative data.
• Design and evaluate statistical models and reproducible data processing pipelines using best practices in statistical inference; provide expertise for complex data requests and coordinate internal support as needed.
• Collaborate with teams at external institutions to support project data science needs.
• Support interpretation and visualization of results for manuscripts, presentations, and grant applications.
• Contribute to grant applications, including methods, analytic plans, and preliminary data.
• Contribute to development of manuscripts and materials for national meetings.
• Participate in scientific and scholarly education of learners, including undergraduate, graduate, and post-doctorate students.
• Lead and develop methods for analyzing complex datasets, building and maintaining infrastructure connecting medium to large data sets.
• Provide expertise to staff or faculty on defining projects and applying data science principles across data manipulation, statistical applications, programming, analysis, and modeling.
• Recommend process improvements for data calibration between large, complex research and administrative datasets, and implement or improve operational protocols for collecting and analyzing information from internal and external systems.
• Lead design and evaluation of statistical models and reproducible pipelines; provide expertise and/or recommend improvements for complex data-related requests, coordinating with IT resources and campus teams.
• Perform other related work as needed.

Minimum Requirements

• A college or university degree in a related field.
• 7+ years of work experience in a related job discipline.

Technologies

• Epic (electronic medical record system)
• SPSS, Stata
• R, SQL
• SAS

Preferred Qualifications

• Master’s degree (MPH, MS) in public health, epidemiology, or health services research.
• 7-10 years of experience analyzing large clinical datasets from public and private health sectors.
• 7+ years working with data from the Epic electronic medical record system.
• 5-7 years supporting development of research methods for key healthcare system programs, including quality improvement and infectious disease prevention.
• 5+ years supporting scientific manuscript development.
• 5-7 years designing and planning coordination with physician scientists in healthcare settings.
• Demonstrated experience developing data products for analysis and liaising between researchers and technical staff.
• Prior experience with biomedical data analysis (for example, biostatistics).
• Demonstrated leadership supervising other statistical team members in healthcare settings.
• Prior leadership in public health epidemiology.
• Previous experience with community-based organizations and community partners to improve health and wellness.
• Proven ability to lead multidisciplinary teams and manage cross-sector collaborations.
• Ability to apply advanced epidemiological principles to infectious disease surveillance, outbreak investigation, and risk factor analysis.
• Ability to design and execute spatial statistical models to identify geographic patterns of disease risk.
• Ability to build and validate predictive models to identify communities most at risk for existing and emerging infectious diseases.
• Ability to contribute to peer-reviewed publications, grant applications, and technical reports, translating complex findings for clinical, community, and policy audiences.
• Ability to manage multiple research projects and timelines concurrently while maintaining scientific rigor and meeting deliverable commitments.
• Demonstrated experience using SPSS, Stata, R, SQL, and SAS, along with advanced knowledge of epidemiology and statistical analysis methodology.

Role Details

• Location: Chicago, IL (onsite)
• Salary: USD $110,000 - $150,000 per year
• Role type: Individual Contributor
• Schedule: 40 hours per week
• FLSA status: Exempt
• Pay range: $110,000.00 - $150,000.00

Working Conditions

• Hybrid environment allowing remote work and work with remote stakeholders.

Application Materials

• Resume (required)
• Cover letter (required)
• Writing sample (required)

Additional Information

• Drug test required: No
• Health screen required: No
• Motor vehicle record inquiry required: No
• Pay rate type: Salary
• Benefits eligible: Yes
• Job family: Research
• Weekly hours: 40