Senior RWE Data Scientist – Oncology (Remote)

Tempus AI; Redwood City (CA); Remote; USD 130,000 - 180,000; Full time

Job summary

Tempus AI in California is seeking a Sr. Data Scientist I to lead observational studies and derive insights from real-world oncology data. The role focuses on end-to-end study design, advanced statistical methods, and leveraging AI tools to scale analyses and reporting.

You will collaborate with pharma clients and internal teams to translate research questions into actionable insights. The ideal candidate brings deep RWE expertise, strong coding skills in R/SQL, and experience with

Qualifications

• Expert-level proficiency with observational real-world healthcare data, including time-to-event methodologies.
• Proven expertise in executing RWD analytical studies.
• Proficient in using R and SQL, especially statistical tools and packages.
• Experience applying ML and LLM-based coding assistants and agentic frameworks to support analyses and documentation.
• Good software engineering practices and code review experience.

Responsibilities

• Lead the design and execution of RWE analyses for pharma clients and translational questions.
• Derive complex real-world endpoints from Tempus data and support trial design and outcomes research.
• Develop methodological standards and reusable code for the team.
• Incorporate AI tools and LLMs to accelerate code development and reporting.
• Communicate results clearly to technical and non-technical stakeholders.
• Collaborate with cross-functional teams to improve data quality and product analytics.

Education

PhD + 2+ years

Master’s + 4+ years

Tools

R

SQL

Job description

Tempus AI in California is seeking a Sr. Data Scientist I to lead observational studies and derive insights from real-world oncology data. The role focuses on end-to-end study design, advanced statistical methods, and leveraging AI tools to scale analyses and reporting.

You will collaborate with pharma clients and internal teams to translate research questions into actionable insights. The ideal candidate brings deep RWE expertise, strong coding skills in R/SQL, and experience with