Principal Clinical Scientist

Principal Clinical Scientist (AI Training)

About The Role

What if your career spent designing clinical trials and interpreting regulatory-grade data could directly shape how AI understands clinical evidence — for millions of patients and researchers worldwide?

We're looking for a Principal Clinical Scientist to bring senior-level clinical expertise into cutting-edge AI development. You'll work alongside world-leading AI research teams to ensure the clinical data powering next-generation AI systems meets the rigor, structure, and regulatory standards expected in real-world submissions.

This is a fully remote, flexible contract role built for experienced clinical professionals who want to do meaningful work on their own terms.

• 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 datasets for AI training and evaluation
• Interpret and audit clinical trial results to ensure accuracy, consistency, and alignment with regulatory standards (FDA, EMA, or equivalent)
• Evaluate AI-generated clinical analyses for scientific soundness and regulatory relevance
• Provide structured expert feedback that directly shapes how AI models reason about clinical trial data, outcomes, and evidence
• Help bridge the gap between frontier AI systems and the real-world standards of clinical research
  
  

Who You Are

• Senior-level clinical professional with hands-on experience designing trial protocols for regulatory submission
• Deep expertise interpreting clinical data for major regulatory agencies such as the FDA, EMA, or equivalent
• Strong grounding in clinical research methodology, biostatistics, translational science, or a closely related discipline
• Rigorous, detail-oriented, and comfortable working independently in a flexible, asynchronous environment
• Clear and precise communicator — able to document findings and feedback in structured formats
  
  

Nice to Have

• Prior experience with data annotation, data quality assurance, or AI evaluation workflows
• Background in biomedical informatics or digital health research
• Familiarity with AI tools or clinical data platforms as an end user
  
  

Why Join Us

• Work directly on frontier AI systems that are reshaping clinical and biomedical research
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-stakes work
• Influence how AI understands, evaluates, and reasons about real-world clinical evidence
• Collaborate with leading AI research labs on projects at the cutting edge of science and technology
• Potential for ongoing work and contract extension as new projects launch