Principal AI Researcher
Recursion · United States · US
Clinical Data Science
Remote
Not yet analysed
Demand82
Career growth85
Healthcare fit28
Remote potential40
5-year outlook
Strong long-term compensation outlook for senior AI researchers in AI-native biopharma, likely competitive with senior tech/biotech roles, but this is a highly specialized path rather than a standard clinician salary track.
Clinical license
Not required
Applicant reach
narrow
Seniority
lead
Employment type
full-time
Date found
2026-10-25
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- 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
Only consider this if you are a clinician-scientist with a deep ML/AI research track record and roughly 10+ years of frontier AI experience. Typical clinicians without advanced computational research backgrounds are unlikely to be competitive.
Who should apply
Physician-scientists, clinical informaticians, or healthcare graduates with a PhD-level ML/NLP/computer vision background, strong publication or applied research record, and genuine interest in AI drug discovery and precision health.
CV angle
Lead with ML/AI research impact, publications, large-scale data projects, cross-functional research leadership, and any biomedical or drug-discovery work. Frame clinical domain knowledge as a valuable plus, not as a substitute for frontier AI research experience.
Skills to highlight
- Machine learning research
- NLP
- Computer vision
- Large-scale biomedical data
- Drug discovery and biomedicine
- Cross-functional collaboration
- Research leadership
- Scientific communication
Role summary
Principal-level AI researcher at an AI-native drug discovery company, advancing frontier machine learning for biomedical discovery, virtual cell/virtual patient models, and precision health.
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