Member of Clinical Staff, Life Sciences
abridge · United States · US
Clinical Research
Remote/Hybrid — check advert
physician
Dentist
Demand72
Career growth82
Healthcare fit88
Remote potential30
Salary band
USD 240k – 280k
5-year outlook
Likely a competitive senior individual-contributor total package in line with health-tech clinician scientist roles in SF/NYC, with upside as life sciences data products scale; equity component typically matters more than base over time.
Clinical license
Required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-11-06
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Profession fit
- physician, Dentist
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Worth applying if you are a clinically active physician or advanced-practice clinician with research, epidemiology, or pharma/CRO exposure and want to shape AI-derived real-world evidence; not realistic for early-career clinicians without research credentials.
Who should apply
Physicians or clinical doctoral-level professionals with real-world evidence, clinical trial, epidemiology, or medical affairs experience; clinician-researchers comfortable with ML evaluation concepts and partner-facing work in SF/NYC or willing to relocate.
CV angle
Foreground clinical practice depth across specialties plus any research output — study design, endpoint selection, cohort definitions, IRB protocols, publications, and real-world data work. Quantify evaluation or quality frameworks you built, and show cross-functional collaboration with data scientists, engineers, or industry partners; frame clinical judgment as a scalable evaluation asset, not just patient care experience.
Skills to highlight
- Real-world evidence study design
- Clinical trial feasibility and cohort identification
- Endpoint and outcome measure definition
- Clinical evaluation and annotation framework design
- Epidemiology and confounding/bias assessment
- Cross-functional collaboration with ML/engineering teams
- Regulatory, privacy, and IRB navigation
- Pharma/CRO/academic partner communication
Role summary
A clinician scientist role inside a health-tech AI company, owning the clinical science behind turning ambient clinical documentation data into research-grade life sciences evidence — trial feasibility, cohort definition, endpoint design, LLM evaluation frameworks, and partner-facing credibility with pharma, CROs, and academic researchers.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.