Principal Clinical Scientist

Principal Clinical Scientist (AI Training)

About The Role

What if your decades of clinical trial expertise could directly shape how AI understands and evaluates biomedical evidence for millions of researchers, clinicians, and patients worldwide?

We're looking for a Principal Clinical Scientist to bring senior-level authority in clinical trial design and regulatory-grade data interpretation into cutting-edge AI research workflows. Your expertise will help ensure that the AI systems influencing the future of clinical and biomedical science are built on rigorous, accurate, and regulation-ready foundations.

This is a fully remote, flexible contract role. No prior AI experience needed — just deep command of clinical trial methodology and regulatory science.

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

What You'll Do

• Design and critically review clinical trial protocols that generate high-quality, regulator-ready datasets for AI training and evaluation
• Interpret and audit clinical trial results to verify accuracy, consistency, and alignment with regulatory standards
• Evaluate AI-generated clinical analyses for scientific soundness and regulatory appropriateness
• Provide expert, structured feedback to improve how AI models reason about clinical trial data, endpoints, and outcomes
• Work independently and asynchronously — fully on your own schedule

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 equivalent regulatory bodies
• Strong grounding in clinical research methodology, biostatistics, or translational science
• Naturally rigorous and detail-oriented — you hold clinical data to the highest standards
• Clear and precise written communicator who can document scientific reasoning effectively
• Comfortable working independently across varied clinical topics and therapeutic areas

Nice to Have

• Prior experience with data annotation, data quality assurance, or evaluation frameworks
• Familiarity with AI tools or model evaluation workflows as an end user
• Background spanning multiple therapeutic areas or regulatory jurisdictions
• Experience in medical writing, evidence synthesis, or systematic review

Why Join Us

• Work directly on frontier AI systems shaping the future of clinical and biomedical research
• Fully remote and flexible — work when and where it suits you
• Freelance autonomy with the structure of meaningful, high-impact scientific work
• Influence how AI understands, evaluates, and reasons about real-world clinical evidence at scale
• Collaborate with leading AI research teams and labs on genuinely novel challenges
• Potential for ongoing work and contract extension as new projects launch