Position Details
About this role
Senior Data Scientist at Tempus focuses on design and analysis of pharmacoepidemiological and real-world studies, partnering with pharma, biotech, and academia to deliver real-world insights for cancer and other conditions. The role emphasizes HEOR/RWE methodologies and working with large healthcare datasets.
Key Responsibilities
- Lead and execute HEOR and RWE projects
- Collaborate with internal and external stakeholders
- Apply epidemiologic methodologies to real-world data
- Build reusable infrastructure for analyses
- Ensure regulatory and methodological rigor
Technical Overview
Stack includes R and SQL for analysis; healthcare data sources such as claims, EHR, and clinico-genomic databases; methodologies include propensity score methods, survival/time-to-event analyses, and real-world data analytics.
Ideal Candidate
The ideal candidate is a senior data scientist with 3+ years of experience in HEOR/RWE, strong expertise in R and SQL, and a track record of managing pharmacoepidemiology studies and translational analytics in healthcare.
Must-Have Skills
Nice-to-Have Skills
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of advanced degree in a relevant field, No experience with R or SQL, No experience with RWE/HEOR or oncology data, No remote work capability in Illinois
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