Tempus AI
Associate Director, Outcomes Research
Remote - USA · Director
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About the role
- Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way.
- This is a high-visibility, client-facing role within the Data Business.
- 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.
Responsibilities
- Research Design & Implementation: Oversee the end-to-end execution of retrospective database analyses.
- Client Strategy & Partnership: 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).
- Methodological Innovation: 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.
- People Management: Manage a small team of outcomes research scientists, providing hands-on guidance on analytical projects and career development and growth.
- The Associate Director will lead high-impact outcomes research for Tempus's biopharma partners, sitting at the intersection of traditional outcomes research and cutting-edge data science.
- 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.
- Research Design & Implementation:
- Serve as a subject matter expert for biopharma clients, advising them on "first-in-kind" study designs.
Requirements
- Deep expertise in oncology is required.
- Technical Proficiency: Advanced skills in R or SAS.
- Experience working with "messy" real-world data (EHR, claims, and/or genomic data) is essential.
- The "Consultant" Mindset: Exceptional ability to walk into a room of biopharma executives and simplify complex methodological hurdles into a clear strategic roadmap.
- You are expected to contribute to the broader scientific community through high-impact publications and presentations at conferences like ISPOR, ISPE, and ASCO.
- Education: PhD (preferred), PharmD, or Masters degree in Epidemiology, Biostatistics, Health Economics, or a related quantitative field.
- Methodological expertise: Proven track record of developing or implementing advanced analytical methods (e.g., target trial emulation, propensity score applications in complex cohorts, causal inference, or machine learning-augmented epidemiology) and creative problem solving.
- Technical Proficiency: Advanced skills in R or SAS. Experience working with "messy" real-world data (EHR, claims, and/or genomic data) is essential.
- Leadership: Demonstrated experience managing junior scientists and leading cross-functional squads in a fast-paced, high-growth environment
Compensation
- $150,000 - $210,000
- The expected salary range may vary for other locations.
- Actual salary may vary based on qualifications and experience.
- Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Benefits
- Passionate about precision medicine and advancing the healthcare industry?
Equal opportunity
- We are an equal opportunity employer.
This listing is sourced directly from Tempus AI's careers page and normalized into a canonical job model.