Principal Clinical Scientist (AI Training) About The Role What if your career spent designing rigorous clinical trials and interpreting regulatory-grade data could directly influence how AI reasons about medicine? We're looking for a Principal Clinical Scientist to bring senior-level clinical expertise into the development of cutting-edge AI systems — ensuring the models shaping the future of biomedical research are built on a foundation of scientific rigor. This is a fully remote, flexible contract role. You won't be running trials or filing submissions — you'll be doing something arguably more consequential: teaching AI to think like a seasoned clinical scientist.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
Design and review clinical trial protocols used to generate high-quality, regulator-ready training datasets for AI systems
Interpret and audit clinical trial results to ensure accuracy, consistency, and alignment with regulatory standards
Evaluate AI-generated clinical analyses for scientific soundness and regulatory relevance
Identify gaps, errors, and weaknesses in how AI models reason about clinical evidence — and provide expert feedback to correct them
Help define what "good" looks like when AI tackles clinical trial data, outcomes, and methodology
Work independently and asynchronously on task-based assignments — on your own schedule
Who You Are
Senior clinical scientist with deep, hands-on experience designing clinical trial protocols for regulatory submission
Expert interpreter of clinical data for agencies such as the FDA, EMA, or equivalent regulatory bodies
Strong grounding in clinical research methodology, biostatistics, or translational science
Precise, rigorous thinker who can spot flawed reasoning or incomplete analysis quickly
Clear written communicator who can document feedback in structured, actionable formats
Self-motivated and reliable when working independently without direct supervision
Nice to Have
Prior experience with data annotation, data quality evaluation, or AI training workflows
Background in regulatory affairs, pharmacovigilance, or clinical operations
Familiarity with AI tools or model evaluation platforms as an end user
Experience in oncology, rare disease, or other complex therapeutic areas
Why Join Us
Work on frontier AI systems alongside leading AI research labs — at the cutting edge of clinical and biomedical AI
Fully remote and flexible — work when and where it suits you
Freelance autonomy with the structure of meaningful, expert-level work
Make a direct, lasting impact on how AI understands and evaluates real-world clinical evidence
Influence the standards that define how AI models approach regulatory science
Potential for ongoing work and contract extension as new projects launch