Director, Epidemiology – Methodological Innovation

🕒 August 11

🏄 California – Remote

🏄 California – Remote

💵 $180k - $250k / year

⏰ Full Time

🔴 Lead

👔 Director

👻 Ghost score 0%

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Tempus AI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

🏥 Healthcare

🧬 Biotechnology

🤖 Artificial Intelligence

Healthcare • Biotechnology • Artificial Intelligence

Tempus AI is an advanced healthcare technology company that specializes in precision medicine through the use of AI and genomic profiling. The company provides innovative solutions across various medical fields, including oncology, cardiology, neurology, and psychiatry. Tempus enables healthcare providers to make informed treatment decisions by integrating real-world data, clinical trial matching, and algorithmic testing to improve patient outcomes and accelerate drug development.

📋 Description

• Lead development of novel real-world evidence methodologies, including external control arms, causal inference, and integration of longitudinal clinical data with molecular/genomic signatures • Oversee end-to-end retrospective database analyses and architect study protocols • Advise biopharma clients on first-in-kind study designs • Contribute to high-impact publications and presentations at ISPOR, ISPE, and ASCO • Partner with Key Account Directors and Business Development to identify novel methodology opportunities • Collaborate with Data Science, Biostatistics, and Product teams to productize scalable methods • Ensure innovative research meets regulatory and ethical standards, including GEP and HIPAA • Deliver high-quality research results on biopharma-industry timelines • Mentor junior scientists and lead cross-functional squads

🎯 Requirements

• PhD (preferred) or PharmD in Epidemiology, Biostatistics, Health Economics, or a related quantitative field • 7+ years of experience in HEOR/RWE • At least 3 years of experience in a leadership capacity • Deep expertise in oncology required • Proven track record developing or implementing advanced methods, such as target trial emulation, complex-cohort propensity scores, or machine-learning-augmented epidemiology • Advanced skills in R or SAS • Experience with real-world data, including EHR, claims, and/or genomic data, essential • Exceptional ability to explain complex methodological hurdles to biopharma executives • Experience mentoring junior scientists and leading cross-functional squads • Ability to meet regulatory and ethical standards, including GEP and HIPAA

🏖️ Benefits

• Incentive compensation may be offered • Restricted stock units may be offered • Medical and other benefits depending on the position