Data Scientist II, Outcomes Research

This is a fully remote position, open to applicants in California, +2 more states.

📋 Description

• Lead and implement HEOR and real-world evidence (RWE) projects, encompassing outcomes analysis, treatment patterns, and healthcare resource utilization.

• Act as a representative of the Outcomes Research function, collaborating with internal and external stakeholders in the design, analysis, interpretation, and publication of real-world studies.

• Tackle complex problems by selecting and adapting suitable epidemiologic and health economic methodologies.

• Collaborate with interdisciplinary scientists, engineers, and product developers to convert research findings into clinically actionable insights for clients.

• Keep abreast of methodological advancements in RWE, including causal inference and pharmacoepidemiologic techniques.

• Develop analytical infrastructure, including reusable code, templates, and workflows.

• Adhere to applicable regulations, Tempus data governance, and company procedures related to the use and reporting of real-world data.

⛳️ Requirements

• Advanced degree (Master’s with 2+ years of experience or equivalent) in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or a related quantitative discipline.

• Proven computational skills utilizing R and SQL, particularly in the context of large-scale healthcare datasets.

• Strong data manipulation and analytical abilities focused on observational/real-world data.

• Extensive knowledge of HEOR and RWE methodologies, including techniques for addressing confounding.

• Experience in analyzing large, intricate real-world datasets, including administrative claims, electronic health records (EHR), and/or clinico-genomic databases.

• Proficiency in time-to-event analysis and survival methodologies.

• Background in oncology or analyzing outcomes related to cancer genetics, immunology, or molecular biology.

• Capability to draw appropriate conclusions based on study design and to clearly assess and communicate study limitations.

• Familiarity with version control systems (e.g., Git) and software testing or validation processes.

• Experience in oncology Phase II-IV clinical trials and/or with RWD and/or HEOR studies.

• Practical experience contributing to regulatory submissions to the FDA or other health authorities.

• Experience supporting data science teams in model development and validation, including feature engineering and performance evaluation.

• Client-facing or consulting experience with the ability to present results and recommendations to external stakeholders confidently.

🏝️ Benefits

• Incentive compensation.

• Restricted stock units.

• Medical and other benefits based on the position.

• Equal opportunity employment.