Principal Clinical Scientist

Company: Alignerr Agency

  • Location: Ireland
  • Work mode: Remote
  • Seniority: Director
  • Employment type: Contract
  • Posted: 6 days ago
  • Offer language: English

Job description

Principal Clinical Scientist (AI Training)

About The Role

What if your expertise in clinical trial design and regulatory science could directly shape how AI understands and evaluates real-world medical evidence?

We're partnering with the world's leading AI research labs to build and train advanced AI models — and we need senior clinical scientists to ensure the clinical knowledge powering these systems meets the highest standards of scientific rigor and regulatory integrity.

This is a fully remote, flexible contract role. No AI background required — just deep clinical expertise and a commitment to scientific quality.

  • 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 regulatory standards
  • Provide expert, structured feedback that directly improves how AI models reason about clinical data, trial outcomes, and biomedical evidence
  • Work independently and asynchronously — fully on your own schedule

Who You Are

  • Senior-level clinical scientist with hands-on experience designing trial protocols for regulatory submission
  • Deep expertise interpreting clinical data for major regulatory agencies (FDA, EMA, or equivalent)
  • Strong background 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, comfortable providing structured, actionable feedback

Nice to Have

  • Prior experience with data annotation, data quality frameworks, or evaluation systems
  • Familiarity with AI tools or machine learning workflows in a clinical or biomedical context
  • Background in drug development, medical devices, or health technology assessment
  • Experience working across multiple therapeutic areas or global regulatory environments

Why Join Us

  • Work directly on frontier AI systems that are transforming clinical and biomedical research
  • Influence how AI understands, evaluates, and reasons about real-world clinical evidence
  • Fully remote and flexible — work when and where it suits you
  • Freelance autonomy with the structure of meaningful, expert-level work
  • Collaborate with leading AI research teams and scientists from around the world
  • Potential for ongoing work and contract extension as new projects launch

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