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Principal Clinical Scientist
Job in
Vancouver, Clark County, Washington, 98660, USA
Listed on 2026-06-14
Listing for:
Alignerr
Full Time
position Listed on 2026-06-14
Job specializations:
-
Research/Development
AI Evaluation -
IT/Tech
AI Evaluation
Job Description & How to Apply Below
Principal Clinical Scientist (AI Training) About The Role
What if your decades of clinical trial expertise could directly influence how AI understands and reasons about medical evidence? We're looking for a Principal Clinical Scientist to bring senior‑level rigor to AI‑driven research — ensuring the clinical data powering next‑generation AI systems meets the standards expected in real‑world regulatory submissions.
This is a fully remote, flexible contract role built for experienced clinical scientists who want to work at the frontier of AI and biomedical research — on your schedule, without leaving your area of expertise.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Design and review clinical trial protocols used to generate high‑quality, regulator‑ready datasets for AI training and evaluation
- Interpret and audit clinical trial results to ensure accuracy, consistency, and regulatory relevance
- Evaluate AI‑generated clinical analyses for scientific soundness and alignment with FDA, EMA, or equivalent regulatory expectations
- Provide structured expert feedback that directly improves how AI models reason about clinical trial data, endpoints, and outcomes
- Help establish the standard for how clinical evidence is represented, evaluated, and used within advanced AI systems
- Senior clinical scientist with hands‑on experience designing clinical trial protocols for regulatory submission
- Deep expertise interpreting clinical data for regulatory agencies such as the FDA, EMA, or equivalent bodies
- Strong grounding in clinical research methodology, biostatistics, or translational science
- Precise, detail‑oriented communicator — you can articulate complex scientific reasoning clearly and consistently
- Self‑directed and comfortable working independently on structured, task‑based assignments
- Prior experience with data annotation, data quality evaluation, or AI evaluation workflows
- Background in pharmacovigilance, outcomes research, or evidence‑based medicine
- Familiarity with AI tools or clinical decision‑support systems as an end user
- Work directly on frontier AI systems shaping the future of clinical and biomedical research
- Fully remote and flexible — work on your own schedule from anywhere
- Freelance autonomy with the structure of meaningful, high‑impact work
- Influence how AI understands, evaluates, and reasons about real‑world clinical evidence
- Collaborate with leading AI research teams and labs on cutting‑edge projects
- Potential for ongoing work and contract extension as new projects launch
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