Senior Data Scientist, Real-World Outcomes & HEOR

Tempus AI; California; Hybrid; USD 100,000 - 150,000; Full time

Job summary

Tempus AI is seeking a Sr. Data Scientist to lead HEOR and real-world evidence projects. You will collaborate with Pharma, academic partners and internal teams to design and analyze studies translating research into actionable insights for clinicians.

The role requires expertise in HEOR/RWE, large healthcare datasets, and strong communication skills to present complex methods to non-technical stakeholders. Remote-friendly and California-based options are available.

Qualifications

• Advanced degree in data science, biostatistics, epidemiology, or related field.
• Demonstrated computational skills using R and SQL on large healthcare datasets.

Responsibilities

• Lead and execute HEOR and real-world evidence projects with external partners.
• Collaborate with stakeholders in design, analysis, interpretation, and publication of real-world studies.
• Apply epidemiologic and health economic methods to complex problems.
• Partner with interdisciplinary teams to translate research into clinical insights.
• Stay current with RWE methodologies, including causal inference.
• Build reusable analytical infrastructure and workflows.
• Comply with Tempus data governance and regulations.

Skills

R programming

SQL

HEOR

RWE methods

Observational data analysis

Time-to-event analysis

Communication with stakeholders

Education

Master's degree or higher

Tools

R

SQL

Job description

Tempus AI is seeking a Sr. Data Scientist to lead HEOR and real-world evidence projects. You will collaborate with Pharma, academic partners and internal teams to design and analyze studies translating research into actionable insights for clinicians.

The role requires expertise in HEOR/RWE, large healthcare datasets, and strong communication skills to present complex methods to non-technical stakeholders. Remote-friendly and California-based options are available.