Data Scientist II, Outcomes Research

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 Tempuss real-world data (RWD) offering. Data Scientist with extensive experience in the design and analysis of pharmacoepidemiologic and health economic outcomes research (HEOR) studies.

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.
Partner with interdisciplinary groups of scientists, engineers, and product developers to translate research into clinically actionable insights for our clients.
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.
Advanced degree (Masters 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.
Experience analyzing large, complex real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases.
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.
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.
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.
Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.
Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.