Data Scientist II, Outcomes Research

## Data Scientist II, Outcomes Research Apply locations:
Chicago:
Boston:
Redwood City:
New York Citytime type:
Full time posted on:
Posted Yesterday job requisition :
JR
** 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 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.
*
* Required Experience:

*** 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.
*
* 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 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…