Principal Clinical Scientist

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