Principal Clinical Scientist

Principal Clinical Scientist (AI Training)

About The Role

What if your decades of clinical trial expertise could directly influence how AI reasons about medical evidence, regulatory submissions, and patient outcomes? We're looking for a Principal Clinical Scientist to bring senior-level rigor to one of the most consequential frontiers in technology — AI systems that interpret and generate clinical data.

This is a fully remote, flexible contract role built for experienced clinical scientists who want to make an outsized impact without the constraints of a traditional position. You'll work alongside leading AI research labs to ensure that frontier models handle clinical evidence the way regulators — and patients — deserve.

• 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 training datasets for AI systems
• 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 — catching errors that only a seasoned expert would spot
• Provide structured, expert feedback that directly shapes how AI models reason about clinical trial design, data, and outcomes
• Help establish the gold standard for how AI understands and communicates clinical evidence

Who You Are

• Senior-level clinical scientist with hands-on experience designing clinical trial protocols for regulatory submission
• Deep expertise interpreting clinical data for regulatory agencies such as the FDA, EMA, or equivalent bodies
• Strong grounding in clinical research methodology, biostatistics, or translational science
• Naturally detail-oriented — you hold clinical evidence to the highest standard and notice when something doesn't hold up
• Comfortable working independently in an asynchronous, remote environment

Nice to Have

• Prior experience with data annotation, data quality frameworks, or evaluation systems
• Background in AI, digital health, or clinical decision support tools
• Experience across multiple therapeutic areas or trial phases
• Familiarity with ICH guidelines, GCP standards, or submission dossier preparation

Why Join Us

• Work directly on frontier AI systems that will shape the future of clinical and biomedical research
• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy with the substance of genuinely meaningful, high-stakes work
• Influence how AI systems understand, evaluate, and communicate real-world clinical evidence at scale
• Collaborate with world-class AI research teams and labs on cutting-edge projects
• Potential for ongoing work and contract extension as new projects launch