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Principal Clinical Scientist

Alignerr

Manchester, England, UK
Remote
Contract
Pharma & Biotech
Posted 8 Jul 2026

Job Description

Principal Clinical Scientist (AI Training) About The Role What if your deep expertise in clinical trial design and regulatory science could directly shape how AI understands and evaluates real-world medical evidence? We're looking for a Principal Clinical Scientist to bring senior-level clinical rigor into cutting-edge AI research workflows — ensuring the AI systems influencing the future of medicine are built on scientifically sound, regulator-ready foundations.

This is a fully remote, flexible contract role designed for experienced clinical scientists who want to do meaningful work at the frontier of biomedical AI — on their own terms.

  • 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, regulatory-grade datasets for AI training and evaluation
  • Interpret and audit clinical trial results to ensure accuracy, consistency, and alignment with regulatory standards
  • Evaluate AI-generated clinical analyses for scientific soundness and adherence to regulatory expectations (FDA, EMA, or equivalent)
  • Provide structured expert feedback that directly improves how AI models reason about clinical trial data, endpoints, and outcomes
  • Help define the standard of scientific quality for clinical content used in frontier AI systems

Who You Are

  • Senior clinical scientist with hands-on experience designing clinical trial protocols for regulatory submission
  • Deep familiarity with interpreting clinical data for regulatory agencies such as the FDA, EMA, or equivalent bodies
  • Strong grounding in clinical research methodology, biostatistics, or translational science
  • Meticulous and systematic — you hold clinical data to the highest standard of rigor
  • Comfortable working independently and delivering structured, high-quality written evaluations

Nice to Have

  • Prior experience with data annotation, data quality assurance, or AI evaluation systems
  • Background in pharmacovigilance, clinical operations, or medical affairs
  • Familiarity with AI tools or how machine learning models are trained and assessed

Why Join Us

  • Work directly on frontier AI systems that are reshaping clinical and biomedical research
  • Influence how the next generation of 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, high-stakes scientific work
  • Collaborate with world-leading AI research teams and labs
  • Potential for ongoing work and contract extension as new projects launch

Interested in this role?

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