Sr. Data Scientist, Outcomes Research

• 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.

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 5+ years experience, PhD with 3+ years experience, or Bachelor’s with 8+ years experience) in data science, bioinformatics, biostatistics, epidemiology, public health, or a 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, such as 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 analysis of RWD studies (e.g., claims, EHR, 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.

Remote US: $100,000-$160,000 NYC/SF: $115,000-$175,000

The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). 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.

Tempus was founded in August of 2015 by Eric Lefkofsky, after his wife was diagnosed with Breast Cancer. Shortly after he founded the company in an effort to bring the power of technology and artificial intelligence to cancer care, he convinced Ryan Fukushima to join as the company’s first employee. Ryan and Eric began assembling a world class team, focused on building the first version of a platform capable of ingesting real time healthcare data in an effort to personalize diagnostics.

We built the platform for oncology and have expanded it to neuropsychiatry, cardiology, infectious disease (through COVID), and radiology. Despite our rapid growth, our mission remains the same-to help make sure patients are on the right drug at the right time, so they can live longer and healthier lives.

Why Work Here?

We’re looking for people who can change the world.

Who question the status quo and don’t shy away from tough problems. For the builders who are never done building and the learners who are never done learning. We’re looking for passionate people with undying curiosity. Those who want to attack one of the most challenging problems mankind has ever faced. Head on.