Director, Epidemiology & Methodological Innovation

Tempus AI•Chicago, IL

4d•Hybrid

About The Position

Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Director of Epidemiology & Methodological Innovation will lead high-impact research for Tempus’s biopharma partners, sitting at the intersection of traditional outcomes research and cutting-edge data science. This is a high-visibility, client-facing role within the Data Business. You won’t just apply existing frameworks; you will develop and validate novel epidemiological methods to unlock the full potential of Tempus’s multimodal datasets. The ideal candidate is a scientific visionary who can translate complex, non-linear data into regulatory-grade insights that accelerate drug development and improve patient outcomes.

Requirements

PhD (preferred) or PharmD in Epidemiology, Biostatistics, Health Economics, or a related quantitative field.
7+ years in HEOR/RWE, with at least 3 years in a leadership capacity.
Deep expertise in oncology is required.
Proven track record of developing or implementing advanced methods (e.g., target trial emulation, propensity score applications in complex cohorts, or machine learning-augmented epidemiology).
Advanced skills in R or SAS.
Experience working with "messy" real-world data (EHR, claims, and/or genomic data) is essential.
Exceptional ability to walk into a room of biopharma executives and simplify complex methodological hurdles into a clear strategic roadmap.
Demonstrated experience mentoring junior scientists and leading cross-functional squads in a fast-paced, high-growth environment.

Responsibilities

Lead the development of novel approaches for RWE, including the use of external control arms (ECA), causal inference in high-dimensional data, and the integration of longitudinal clinical data with molecular/genomic signatures.
Oversee the end-to-end execution of retrospective database analyses. You will act as the primary architect for study protocols, ensuring they push the boundaries of current HEOR/RWE standards while maintaining scientific rigor.
Serve as a subject matter expert for biopharma clients, advising them on "first-in-kind" study designs. You are expected to contribute to the broader scientific community through high-impact publications and presentations at conferences like ISPOR, ICPE, and ASCO.
Partner with Key Account Directors and Business Development to identify opportunities where novel methodology can solve "unsolvable" client problems (e.g., rare disease characterization or complex biomarker validation).
Bridge the gap between Data Science, Biostatistics, and Product teams to productize successful novel methods, ensuring they are scalable across the Tempus ecosystem.
Ensure all innovative research meets stringent regulatory and ethical standards (e.g., GEP, HIPAA), delivering high-quality results on timelines that match the pace of the biopharma industry.