Alignerr

Principal Clinical Scientist

Alignerr
Salt Lake City, UT
Contract
Remote
1 month ago

About the role

Principal Clinical Scientist (AI Training)
About The Role
What if your career-long expertise in clinical trial design and regulatory science could directly shape how AI understands and evaluates clinical evidence?
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 being developed by leading research labs — ensuring the clinical intelligence built into these models meets the standards expected in real-world regulatory environments.
This is a fully remote, flexible contract role. No AI background needed — just deep command of clinical research and regulatory science.
  • 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 regulatory expectations (FDA, EMA, or equivalent)
  • Provide expert, structured feedback that improves how AI models reason about clinical trial data, endpoints, and outcomes
  • Help define quality standards for clinical data used across frontier AI research projects

Who You Are
  • Senior-level experience designing clinical trial protocols for regulatory submission
  • Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or equivalent bodies
  • Strong background in clinical research methodology, biostatistics, translational science, or a closely related field
  • Naturally rigorous and detail-oriented — you hold data and analysis to a high standard
  • Able to communicate expert clinical judgment clearly in written feedback
  • Comfortable working independently in a self-directed, asynchronous environment

Nice to Have
  • Prior experience with data annotation, data quality evaluation, or AI model evaluation workflows
  • Background in pharmacology, clinical pharmacokinetics, or outcomes research
  • Experience working across multiple therapeutic areas or regulatory jurisdictions
  • Familiarity with AI tools or structured evaluation platforms

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
  • Potential for ongoing work and contract extension as new projects launch
  • Global collaboration with world-class AI researchers and scientists

Skills

Technology, Information and Internet
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