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Principal Clinical Scientist

Alignerr · Boston, MA

CONTRACT Posted Sep 7, 2026

Job Description

Principal Clinical Scientist (AI Training)



About The Role



What if your career-long expertise in clinical trial design and regulatory science could directly influence how AI understands and evaluates medical evidence?



We're looking for a Principal Clinical Scientist to bring senior-level rigor to the AI systems being built at the frontier of biomedical research. You'll work alongside world-leading AI labs to ensure that clinical data powering next-generation AI models meets the standards expected in real-world regulatory submissions.



This is a fully remote, flexible contract role — work on your own schedule, on your own terms.




- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week





What You'll Do





- Design and critically 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 standards
- Provide expert, structured feedback that directly shapes how AI models reason about clinical data, trial outcomes, and biomedical evidence
- Identify gaps, errors, or misalignments between AI outputs and real-world regulatory expectations





Who You Are





- Senior-level clinical scientist with hands-on experience designing clinical trial protocols for regulatory submission
- Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or their international equivalents
- Strong grounding in clinical research methodology, biostatistics, or translational science
- Rigorous, detail-oriented, and comfortable working independently on complex scientific material
- Clear and precise written communicator — you can articulate nuanced scientific judgment in structured formats





Nice to Have





- Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
- Background in pharmacovigilance, medical affairs, or health technology assessment
- Familiarity with AI tools or scientific evaluation platforms as an end user





Why Join Us





- Work directly on frontier AI systems making a real impact in clinical and biomedical research
- Influence how the next generation of AI understands, evaluates, and reasons about real-world clinical evidence
- Fully remote and flexible — work when and where it suits you, with no fixed schedule
- Freelance autonomy with the substance of high-impact, expert-level scientific work
- Collaborate with leading AI research teams on problems that matter
- Potential for ongoing work and contract extension as new projects launch

Additional Details

City
Boston
State
Massachusetts
Country
US
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