Senior Data Scientist, Epidemiology & RWE Analytics - FSP
Core
Design, execute, and deliver rigorous real-world evidence (RWE) analyses and observational studies to support clinical, medical, and regulatory decisions using healthcare data.
Role type
Senior Epidemiology & RWE Data Scientist
Builds
Real-world evidence studies, reusable analytical assets, and AI-enabled analytics workflows
Domain
Healthcare / Real-World Evidence (RWE) / Epidemiology
Deliverable
production ML models | dashboards & analysis
Required skills
Epidemiologic study design, statistical analysis, causal inference, R, SQL, Python, machine learning, version control, data quality validation
Preferred skills
OMOP CDM, OHDSI ecosystem, federated analytics, automation of analytical workflows
Technologies
R, SQL, Python, GitHub, OMOP, OHDSI
Responsibilities
Translate evidence needs into study designs and analytical plans; conduct feasibility analyses and statistical modeling; develop reusable cohorts and concept sets; partner with engineers to define requirements for AI-enabled workflows; validate automated outputs for scientific accuracy; establish analytical standards and best practices.
Seniority
Senior, hands-on IC
