Overview In this role you will drive innovative epidemiologic methods at the intersection of outcomes research and data science to accelerate drug development. You will shape study designs and analyses for biopharma partners, leveraging Tempus's multimodal datasets to deliver regulatory-grade insights. You will lead methodological advances and translate complex data into actionable strategies for clients and the broader scientific community. This is a high-visibility, client-facing position that combines scientific leadership with cross-functional collaboration to scale impactful methods across the Tempus ecosystem. You will play a pivotal role in transforming real-world data into real-world patient-
Compensation / Benefits- incentive compensation
- restricted stock units
- medical benefits
Responsibilities- Lead development of novel RWE approaches, including external control arms, high-dimensional causal inference, and integration of longitudinal clinical data with molecular/genomic signatures.
- Oversee end-to-end retrospective database analyses and architect study protocols that push HEOR/RWE standards while ensuring scientific rigor.
- Act as a subject matter expert for biopharma clients, contributing to high-impact publications and presentations at major conferences.
- Collaborate with Key Account Directors and Business Development to identify opportunities for novel methodologies solving complex client problems.
- Bridge Data Science, Biostatistics, and Product teams to productize successful methods for scalability.
- Ensure research meets regulatory and ethical standards (e.g., GEP, HIPAA) and delivers high-quality results on industry timelines.
Key requirements- 7+ years in HEOR/RWE with at least 3 years in a leadership role
- Deep expertise in oncology
- Proven track record in advanced methods (target trial emulation, propensity scores in complex cohorts, machine learning-augmented epidemiology)
- Advanced skills in R or SAS; experience with messy real-world data (EHR, claims, and/or genomics)
- client-facing communication
- strategic storytelling and roadmap development
- mentoring junior scientists and cross-functional leadership
- R
- SAS
- causal inference methods
