Data Scientist II, Outcomes Research
AI summary of the role
This role leads HEOR and real-world evidence projects for external pharma and academic partners, designing and executing outcomes analyses, treatment pattern studies, and healthcare resource utilization research.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Lead and execute HEOR and RWE projects (outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners.
- Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies.
- Work on complex problems, exercising judgment in selecting and adapting appropriate epidemiologic and health economic methodologies.
- Partner with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for clients.
What you’ll bring
- Advanced degree (Master’s with 2+ years experience or equivalent) in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related quantitative field.
- Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare datasets.
- Deep familiarity with HEOR and RWE methodologies, including approaches to address confounding (e.g., propensity score matching, weighting, inverse probability of treatment weighting).
- Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases.
Technologies
R · SQL · causal inference · propensity score matching · inverse probability of treatment weighting · time-to-event analysis · survival methodologies · Git
About Tempus
AI-enabled precision medicine platform combining diagnostics, multimodal clinical/molecular data, and analytics to guide patient care and accelerate biopharma R&D.
Public · 2000–5000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance for Tempus’s real-world data (RWD) offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience in the design and analysis of pharmacoepidemiologic and health economic outcomes research (HEOR) studies. Responsibilities: Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners. Represent the Outcomes Research function and collaborate with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies. Work on complex problems, exercising judgment in selecting and adapting appropriate epidemiologic and health economic methodologies. Partner
More from the job description
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. About Tempus and the Outcomes Research Team 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 Outcomes Research team partners with external Pharma, biotech, and academic institutions to provide best-in-class data, analysis, and methodological guidance for Tempus’s real-world data (RWD) offering. We are seeking a highly motivated and capable Sr. Data Scientist with extensive experience in the design and analysis of pharmacoepidemiologic and health economic outcomes research (HEOR) studies. Responsibilities: Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare res [... source excerpt omitted ...] h economic methodologies. Partner with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients. Stay current with the latest methodological advances in RWE, including causal inference and pharmacoepidemiologic methods. Build analytical infrastructure, including reusable code, templates, and workflows that improve speed and quality across engagements. Comply with all applicable regulations, Tempus data governance, and company procedures related to real-world data use and reporting. Required Experience: Advanced degree (Master’s with 2+ years experience or equivalent) in data science [... source excerpt omitted ...] , immunology, public health, or related quantitative field. Demonstrated computational skills using R and SQL, specifically applied to large-scale healthcare datasets. Preferred Qualifications: Strong data manipulation and analytical skills tailored to observational/real-world data. Deep familiarity with HEOR and RWE methodologies, including approaches to address confounding (e.g., propensity score matching, weighting, inverse probability of treatment weighting). Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases. Strong communication and presentation skills with the ability t
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