Principal Clinical Scientist

Principal Clinical Scientist (AI Training)
About the Role
What if your career-long expertise in clinical trial design and regulatory science could directly shape how AI understands and reasons about medical evidence? We're looking for a Principal Clinical Scientist to bring senior-level rigor to frontier AI research — ensuring the clinical data and analyses powering next-generation AI systems meet the same exacting standards expected in real-world regulatory submissions.
This is a fully remote, flexible contract role built for experienced clinical scientists who want to contribute to something genuinely new. No AI background required — just deep command of clinical research and a sharp eye for scientific quality.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• Design and critically review clinical trial protocols used to generate high-quality, regulatory-grade datasets for AI training

• Interpret and audit clinical trial results for accuracy, consistency, and alignment with regulatory expectations

• Evaluate AI-generated clinical analyses for scientific soundness and methodological integrity

• Provide structured expert feedback that directly improves how AI models reason about clinical evidence, outcomes, and trial data

- Work independently and asynchronously — fully on your own schedule

• Work independently and asynchronously — fully on your own schedule

• Senior-level experience designing clinical trial protocols intended for regulatory submission

• Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or equivalent global bodies

• Strong grounding in clinical research methodology, biostatistics, or translational science

• Naturally detail-oriented with a rigorous, systematic approach to evaluating scientific quality

• Clear and precise written communicator — able to document findings and feedback with authority

- No prior AI or tech experience required

• No prior AI or tech experience required

• Prior involvement in data annotation, data quality assurance, or evaluation systems

• Experience reviewing or contributing to clinical evidence packages for drug, device, or diagnostic submissions

• Background spanning multiple therapeutic areas or trial phases

- Familiarity with AI-generated content or model evaluation workflows

• Familiarity with AI-generated content or model evaluation workflows

• Work directly on frontier AI systems with real impact on clinical and biomedical research

• Fully remote and flexible — work when and where it suits you

• Freelance autonomy with the structure of meaningful, expert-level work

• Influence how AI understands, evaluates, and communicates real-world clinical evidence

• Potential for ongoing work and contract extension as new projects launch