Alignerr
This role involves designing and critically reviewing clinical trial protocols to generate high-quality, regulatory-grade datasets for AI training. The Principal Clinical Scientist will interpret and audit clinical trial results, evaluate AI-generated clinical analyses, and provide expert feedback to improve AI reasoning about clinical evidence and trial data, working independently and asynchronously.
Key Responsibilities
- • 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
Required
- • 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
Preferred
- • 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
Benefits & Perks
- • 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
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
- 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
- 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
- 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
- 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
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