Sr. Data Scientist, Outcomes Research
Core
Lead HEOR and real-world evidence (RWE) projects for external Pharma and academic partners to deliver actionable insights on treatment patterns and healthcare resource utilization.
Role type
Senior individual contributor data scientist (HEOR/RWE)
Builds
Real-world evidence studies and analytical infrastructure (code, templates, workflows) for Tempus's RWD offering
Domain
Healthcare / Health Economics and Outcomes Research (HEOR) / Pharmacoepidemiology
Deliverable
production ML models
Required skills
R, SQL, epidemiologic methods, health economic methodologies, causal inference, observational data analysis, time-to-event analysis, survival methodologies
Preferred skills
Propensity score matching, weighting, inverse probability of treatment weighting, oncology outcomes, cancer genetics, immunology, molecular biology, regulatory submission experience, model building and validation, feature engineering
Technologies
R, SQL, Git
Responsibilities
Lead and execute HEOR and RWE projects with external partners; Represent the Outcomes Research function in study design, analysis, interpretation, and publication; Exercise judgment in selecting epidemiologic and health economic methodologies; Partner with interdisciplinary groups to translate research into clinically actionable insights; Build analytical infrastructure including reusable code and workflows; Comply with regulations and data governance procedures
