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# Data Scientist II, Outcomes Research

- **Company:** Tempus Inc
- **Location:** Redwood City, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $90,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Bioinformatics, Code Reuse, Databases, Data Governance, SQL Databases, Data Processing, Feature Engineering, Electronic Medical Records, Git, Software Version Control
- **Published:** October 4, 2026
- **Apply:** https://startup.jobs/data-scientist-ii-outcomes-research-tempus-ai-inc-10280447

## About the Role

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., * 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., * 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 to translate complex methodologies and findings for non-technical stakeholders.
 * Self-driven mindset with demonstrated ability to tackle ambiguous problems and work effectively in interdisciplinary teams.
 * Experience with time-to-event analysis and survival methodologies.
 * Experience working in oncology and/or analyzing outcomes related to cancer genetics, immunology, or molecular biology.
 * Collaborative working style, eagerness to learn, and high-integrity work ethic.
 * Sharp attention to detail and a passion for delivering high-quality, timely analytics.
 * Ability to draw appropriate inferences based on study design and explicitly assess and communicate study limitations.

Nice to have:

 * Experience with version control (e.g., Git) and software testing or validation processes.
 * Experience working in oncology Phase II-IV clinical trials and/or experience with the analysis of RWD and/or HEOR studies (e.g. using claims, EHR or registry data sources).
 * Hands-on experience contributing to regulatory submissions to the FDA or other health authorities.
 * Experience supporting data science teams in model building and validation, including feature engineering and performance assessment.
 * Client-facing or consulting experience and comfort presenting results and recommendations to external stakeholders.

## Description

* 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 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.