Senior Epidemiology Data Scientist: Infectious Disease & AI
UChicago Institute for Climate and Sustainable Growth
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Job summary
The University of Chicago is seeking a Senior Epidemiology Data Scientist to design and implement research on infectious disease prevention in collaboration with Dr. Lilly Cheng-Immergluck’s lab.
You will lead study design, analysis plans, and mentoring, while integrating clinical and population health data for prevention insights. The role emphasizes advanced biostatistics, data products, and manuscript and grant support, with a hybrid work model and opportunities to collaborate across
Qualifications
- PhD not required; MPH/MS with strong epidemiology background preferred.
- Experience analyzing large clinical datasets from public and private sectors.
- Experience with Epic EMR data and healthcare data integration.
Responsibilities
- Lead development of data products and analytics pipelines.
- Design and evaluate statistical models for infectious disease research.
- Mentor junior staff and contribute to grants and manuscripts.
- Collaborate with clinical and data partners to align study protocols.
- Support data visualization for manuscripts and presentations.
Skills
Education
Tools
Job description
The University of Chicago is seeking a Senior Epidemiology Data Scientist to design and implement research on infectious disease prevention in collaboration with Dr. Lilly Cheng-Immergluck’s lab.
You will lead study design, analysis plans, and mentoring, while integrating clinical and population health data for prevention insights. The role emphasizes advanced biostatistics, data products, and manuscript and grant support, with a hybrid work model and opportunities to collaborate across
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