Associate Director, Outcomes Research

🕒 August 11

🇺🇸 United States – Remote

💵 $150k - $210k / year

⏰ Full Time

🟠 Senior

👔 Director

👻 Ghost score 19%

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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

• Oversee end-to-end execution of retrospective database analyses • Architect study protocols that advance HEOR/RWE standards while maintaining scientific rigor • Advise biopharma clients on first-in-kind study designs • Contribute to scientific publications and conference presentations • Identify opportunities where novel methodology can solve complex client problems • Lead development of novel RWE approaches, including external control arms, causal inference in high-dimensional data, and integration of longitudinal clinical data with molecular/genomic signatures • Drive scientific dissemination strategy and roadmap • Author and publish peer-reviewed manuscripts, abstracts, and conference presentations • Partner with Data Science, Biostatistics, and Product teams to productize scalable methods • Ensure research meets regulatory and ethical standards, including GEP and HIPAA • Deliver high-quality results on biopharma timelines • Manage a small team of outcomes research scientists and support their analytical work and career development

🎯 Requirements

• PhD (preferred), PharmD, or Masters degree in Epidemiology, Biostatistics, Health Economics, or a related quantitative field • 7+ years in HEOR/RWE • At least 3 years in a leadership capacity • Deep expertise in oncology • 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 messy real-world data, including EHR, claims, and/or genomic data • Exceptional ability to simplify complex methodological hurdles into a clear strategic roadmap for biopharma executives • Demonstrated experience managing junior scientists and leading cross-functional squads in a fast-paced, high-growth environment

🏖️ Benefits

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

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