Remote Senior Data Scientist, Real-World Outcomes (HEOR)

Tempus AI; Redwood City (CA); A distancia; USD 100.000 - 160.000; Jornada completa

Descripción de la vacante

Tempus seeks a Sr. Data Scientist to lead HEOR and real-world evidence studies, collaborating with Pharma, academia, and other partners to translate research into clinically actionable insights.

Experience with observational data, causal inference, and survival analysis is preferred. The role involves cross-functional collaboration with engineers and product teams in a data-driven environment.

Formación

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

Responsabilidades

• Lead and execute HEOR and real-world evidence (RWE) projects with external partners.
• Represent the Outcomes Research function in study design, analysis, and publication of real-world studies.
• Work on complex epidemiologic and health economic methodologies with interdisciplinary teams.
• Stay current with methods in RWE, including causal inference and pharmacoepidemiologic methods.
• Build analytical infrastructure, including reusable code, templates, and workflows.

Conocimientos

R programming

SQL

Educación

Master’s degree in data science / bioinformatics / biostatistics / epidemiology

PhD in a related quantitative field

Bachelor’s degree with 8+ years experience in a related field

Descripción del empleo

Tempus seeks a Sr. Data Scientist to lead HEOR and real-world evidence studies, collaborating with Pharma, academia, and other partners to translate research into clinically actionable insights.

Experience with observational data, causal inference, and survival analysis is preferred. The role involves cross-functional collaboration with engineers and product teams in a data-driven environment.