Overview:
In this Sr. Data Scientist role, you will lead HEOR and real-world evidence projects that inform clinical decision-making for Tempus’ partners. You’ll collaborate with cross-functional teams to design, analyze, and publish studies that translate complex data into actionable insights. You will stay ahead of methodological advances in RWE and build scalable analytics that improve speed and quality across engagements. Your work helps clinicians and partners understand treatment patterns and health outcomes in real-world settings. This position offers the chance to shape evidence generation in precision medicine at scale. Compensation / Benefits incentive compensation restricted stock units medical benefits remote-friendly options full range of benefits
Responsibilities:
Lead and execute HEOR and RWE projects with external partners (pharma, academia) Represent the Outcomes Research function in design, analysis, interpretation, and publication of real-world studies Tackle complex problems using epidemiologic and health economic methods Collaborate with interdisciplinary teams to translate research into clinically actionable insights Stay current with latest RWE methodologies, including causal inference Develop analytical infrastructure and reusable code/templates to improve speed/quality Ensure compliance with data governance and reporting regulations
Key requirements:
Advanced degree with specified experience: Master’s (5+ years) or PhD (3+ years) or Bachelor’s (8+ years) in a quantitative field Demonstrated skills in R and SQL applied to large healthcare datasets Strong written and verbal communication for non-technical stakeholders Self-driven with ability to tackle ambiguous problems Collaborative and interdisciplinary team player HEOR and RWE methodologies Causal inference Propensity score methods (matching, weighting, IPTW)