Senior Data Scientist, Outcomes Research

This is a fully remote position, open to applicants in California, +3 more states.

📋 Description

• Lead and implement HEOR and real-world evidence initiatives, encompassing outcomes analysis, treatment patterns, and healthcare resource utilization.

• Act as a representative for Outcomes Research and collaborate with both internal and external stakeholders on study design, analysis, interpretation, and publication.

• Choose and modify epidemiologic and health economic methodologies to address complex issues.

• Collaborate with scientists, engineers, and product developers to convert research findings into clinically relevant insights.

• Keep abreast of advancements in causal inference and pharmacoepidemiologic techniques.

• Develop reusable analytical frameworks, code, templates, and workflows.

• Adhere to regulations, Tempus data governance, and company protocols for the utilization and reporting of real-world data.

⛳️ Requirements

• Advanced degree: Master’s with over 5 years of experience, PhD with over 3 years of experience, or Bachelor’s with over 8 years of experience in data science, bioinformatics, biostatistics, epidemiology, public health, or a related quantitative discipline.

• Proficient computational skills using R and SQL applied to extensive healthcare datasets.

• Strong abilities in data manipulation and analysis for observational/real-world datasets.

• Knowledge of HEOR and RWE methodologies, including propensity score matching, weighting, and inverse probability of treatment weighting.

• Experience in analyzing administrative claims, electronic health records, and/or clinico-genomic databases.

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

• Capability to evaluate and communicate study limitations while drawing appropriate conclusions.

• Preferred expertise in oncology and cancer genetics, immunology, or molecular biology outcomes.

• Familiarity with version control, software testing, or validation is advantageous.

• Experience with oncology Phase II–IV clinical trials or real-world data studies is a plus.

• Contribution to FDA or other health authority regulatory submissions is advantageous.

• Experience in model building and validation, including feature engineering and performance evaluation is a plus.

• Client-facing or consulting experience is a plus.

• Ability to effectively collaborate with interdisciplinary teams and convey complex methodologies to non-technical stakeholders.

🏝️ Benefits

• Incentive compensation may be available.

• Restricted stock units may be provided.

• Medical and additional benefits based on the position.

• Equal opportunity employment.