Principal Clinical Scientist

Alignerr

Principal Clinical Scientist (AI Training)

About The Role

What if your years of clinical trial expertise could directly shape how AI reasons about biomedical evidence — influencing the systems that will power the next generation of clinical research?

We're looking for a Principal Clinical Scientist to bring senior-level rigor to AI-driven research workflows. You'll work with cutting-edge AI systems developed alongside the world's leading research labs, ensuring that clinical data used to train and evaluate these models meets the exacting standards expected in real-world regulatory submissions.

This is a fully remote, flexible contract role — built for senior clinical professionals who want meaningful, high-impact work on their own schedule.

  • 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
  • Interpret and audit clinical trial results to ensure accuracy, consistency, and regulatory relevance
  • Evaluate AI-generated clinical analyses for scientific soundness and alignment with FDA, EMA, or equivalent agency expectations
  • Provide expert, structured feedback that directly improves how AI models reason about clinical trial data, endpoints, and outcomes
  • Help define the gold standard for how clinical evidence is represented and understood within advanced AI systems

Who You Are

  • Senior-level experience designing clinical trial protocols intended for regulatory submission
  • Deep expertise interpreting clinical data for major regulatory agencies (FDA, EMA, or equivalent)
  • Strong grounding in clinical research methodology, biostatistics, or translational science
  • Meticulous, detail-oriented, and comfortable working independently in an asynchronous environment
  • Clear and precise written communicator — you can explain complex clinical reasoning in structured, actionable terms

Nice to Have

  • Prior experience with data annotation, data quality review, or evaluation systems
  • Background in pharmacovigilance, medical writing, or clinical operations
  • Familiarity with AI tools or data evaluation workflows

Why Join Us

  • Work directly on frontier AI systems making a real impact on clinical and biomedical research
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, expert-level work
  • Influence how AI understands and evaluates real-world clinical evidence at a foundational level
  • Collaborate with a global network of domain experts and leading AI research teams
  • Potential for ongoing work and contract extension as new projects launch