Epidemiologist Data Scientist
Core
Lead quantitative analysis and modeling of real-world health data (CMS claims, clinical data) to generate actionable insights for federal public health and CDC policy.
Role type
Senior epidemiologist data scientist (public health)
Builds
Production ML models, statistical models, and data pipelines for surveillance and research
Domain
Public health / Epidemiology / Health data science
Deliverable
production ML models | dashboards & analysis
Required skills
R, Python (Pandas, NumPy, Scikit-learn), SQL, SAS, biostatistics, statistical modeling, machine learning, epidemiological analysis, scientific writing
Preferred skills
Generative AI, NLP, real-world evidence (RWE) studies, public health surveillance systems, Palantir Foundry, peer-reviewed publication history
Technologies
R, Python, SQL, DataBricks, Snowflake
Responsibilities
Lead quantitative analysis and modeling of real-world data; Design, implement, and refine machine learning and statistical models; Develop and maintain data pipelines and dashboards; Collaborate with epidemiologists and clinicians to inform policy; Prepare scientific reports and publications; Ensure data quality and reproducibility
Seniority
Senior, hands-on IC with mentorship