Role at a glance
- Job function
-
AI & Data Data Science
- Salary
- Not yet verified Check the description for pay details; an amount or pay period has not been verified.
- Location
- Remote - United States
- Work arrangement
- Remote
- Employment
- Full-time
- Experience
- Experience: 7+ years in HEOR/RWE, with at least 3 years in a leadership capacity.
- Education
- PhD (preferred), PharmD, or Masters degree in Epidemiology, Biostatistics, Health Economics, or a related quantitative field.
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Role Summary
The Associate Director leads outcomes research for biopharma partners, combining traditional outcomes research with data science to develop and validate methods for analyzing real-world evidence. The role also guides scientific dissemination and manages a small team of outcomes research scientists.
What You'll Do
- Oversee retrospective database analyses and design study protocols.
- Advise biopharma clients on study design and identify opportunities for novel methodologies.
- Develop approaches for real-world evidence, including external control arms, causal inference, and integration of longitudinal clinical...
- Lead scientific dissemination, including peer-reviewed manuscripts, abstracts, and conference presentations.
- Work with Data Science, Biostatistics, and Product teams to make successful methods scalable across the platform.
- Manage outcomes research scientists and guide their analytical projects and career development.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Required: PharmD or Masters degree in Epidemiology, Biostatistics, Health Economics, or a related quantitative field; 7+ years in HEOR/RWE, including at least 3 years in a leadership capacity; deep expertise in oncology; a proven track record developing or implementing advanced analytical methods, including target trial emulation, propensity score applications in complex cohorts, causal inference, or machine learning-augmented epidemiology; advanced skills in R or SAS; experience with real-world data (EHR, claims, and/or genomic data); ability to explain complex methods to biopharma executives; and experience managing junior scientists and leading cross-functional squads.
Preferred
- PhD in Epidemiology, Biostatistics, Health Economics, or a related quantitative field.
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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 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. 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.
Key Responsibilities
- Research Design & Implementation: 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.
- Scientific Thought Leadership: 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, ISPE, and ASCO.
- 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.
- Scientific Thought Leadership & Publication Strategy: Drive the strategy and roadmap for scientific dissemination. Lead the authoring and publication of high-impact peer-reviewed manuscripts, abstracts, and conference presentations to demonstrate methodologic rigor and support broader healthcare evidence generation.
- Cross-Functional Partnership: Bridge the gap between Data Science, Biostatistics, and Product teams to productize successful novel methods, ensuring they are scalable across the Tempus ecosystem.
- Project Management & Quality: 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.
- People Management: Manage a small team of outcomes research scientists, providing hands-on guidance on analytical projects and career development and growth.
Qualifications
- Education: PhD (preferred), PharmD, or Masters degree in Epidemiology, Biostatistics, Health Economics, or a related quantitative field.
- Experience: 7+ years in HEOR/RWE, with at least 3 years in a leadership capacity.
- Deep expertise in oncology is required.
- 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.
- The "Consultant" Mindset: Exceptional ability to walk into a room of biopharma executives and simplify complex methodological hurdles into a clear strategic roadmap.
- Leadership: Demonstrated experience managing junior scientists and leading cross-functional squads in a fast-paced, high-growth environment
U.S. Pay Range: $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.
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
About the company
Tempus AI
Large Enterprise
Tempus AI is a cutting-edge technology company specializing in artificial intelligence solutions for healthcare. By harnessing advanced machine learning algorithms, Tempus AI aims to enhance patient outcomes through data-driven insights and personalized treatment plans. The company collaborates with medical professionals and researchers to bridge the gap between clinical data and actionable intelligence, thereby transforming the way healthcare is delivered and understood. With a commitment to innovation and excellence, Tempus AI is at the forefront of revolutionizing healthcare through technology.