Data Scientist II, Real-World Evidence & HEOR

Tempus AI; Oregon; Hybride; USD 90 000 - 150 000; Plein temps

Résumé du poste

Tempus AI is seeking a Sr. Data Scientist to lead HEOR and real‑world evidence projects, partnering with pharma, academics, and internal teams. You will design analyses, apply causal inference methods, and translate findings into actionable insights for clinicians and clients.

The role requires an advanced degree and strong R/SQL skills with experience handling large real‑world data, including claims or EHR data. The team emphasizes collaboration and methodological rigor.

Qualifications

• Advanced degree in data science, biostatistics, epidemiology, or related field.
• Proven computational skills with R and SQL on large healthcare datasets.
• Experience designing HEOR and RWE studies.

Responsabilités

• Lead HEOR and real-world evidence projects with external partners.
• Collaborate with stakeholders to design, analyze, and publish real-world studies.
• Apply epidemiologic and health economic methods to complex data problems.
• Translate research into clinically actionable insights for clients.

Connaissances

R

SQL

HEOR

RWE

Time-to-event analysis

Formation

Master's degree (or equivalent)

Outils

Git

Description du poste

Tempus AI is seeking a Sr. Data Scientist to lead HEOR and real‑world evidence projects, partnering with pharma, academics, and internal teams. You will design analyses, apply causal inference methods, and translate findings into actionable insights for clinicians and clients.

The role requires an advanced degree and strong R/SQL skills with experience handling large real‑world data, including claims or EHR data. The team emphasizes collaboration and methodological rigor.