Senior Data Scientist, RWD Analytics
Tempus AI · 4 Locations · US
Clinical Data Science
–
Not yet analysed
Demand78
Career growth74
Healthcare fit55
Remote potential55
5-year outlook
Real-world data analytics is a growing niche within health tech and life sciences, so compensation should stay competitive with senior data science roles and grow with RWE demand; exact figures depend on location and prior technical experience and are not stated here.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
–
Date found
2026-10-30
Intelligence details
Flexible work details
- Eligible countries
- United States
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth considering only if you already have demonstrable data science skills (SQL/Python, statistics, ML) plus clinical domain knowledge — clinicians without a technical portfolio will likely be screened out at this level.
Who should apply
Clinician-researchers or physician-informaticists with hands-on programming and biostatistics experience, pharmacists or allied health professionals who moved into data analytics, and MD/PhD or MD/MPH candidates with published quantitative work in oncology or real-world evidence.
CV angle
Lead with quantitative and data-handling evidence from real clinical work — registry or cohort datasets you built, EHR extract-and-analyze projects, statistical methods used, and any publications — then mirror the posting's language on real-world data and real-world evidence; frame clinical domain expertise as the differentiator against pure-tech candidates, and never claim tools or scale of experience you do not have.
Skills to highlight
- real-world data / real-world evidence analysis
- SQL and Python for large clinical datasets
- statistical modeling and study design
- EHR and claims data handling
- oncology or specialty clinical domain knowledge
- cross-functional collaboration with product and medical teams
- data visualization and stakeholder communication
Role summary
Senior individual-contributor data science role focused on real-world data analytics at a precision-medicine AI company, likely involving EHR, genomic, and claims datasets to support evidence generation and product insights.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.