Principal Clinical Scientist

Principal Clinical Scientist (AI Training)
About the Role
What if your years of clinical trial expertise could directly influence how AI understands and reasons about medical evidence — at a scale that impacts millions of patients worldwide?
We're looking for a Principal Clinical Scientist to bring senior-level rigor to AI-driven research workflows. You'll work alongside world-leading AI research teams to ensure that clinical data used to train and evaluate advanced AI systems meets the scientific and regulatory standards expected in real-world submissions.
This is a fully remote, flexible contract role built for experienced clinical scientists who want to do meaningful work on their own terms.

• Organization : Alignerr

• Type : Hourly Contract

• Location : Remote

- Commitment : 10–40 hours/week

• Commitment : 10–40 hours/week

• 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 expectations

• Provide expert, structured feedback to improve how AI models reason about clinical trial data and real-world outcomes

- Help define the standards by which AI systems engage with clinical evidence — shaping the field from the ground up

• Help define the standards by which AI systems engage with clinical evidence — shaping the field from the ground up

• Senior 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 foundation in clinical research methodology, biostatistics, or translational science

• Rigorous, detail-oriented thinker who holds AI outputs to the same standards as a regulatory dossier

- Self-directed and comfortable working independently in an async, remote environment

• Self-directed and comfortable working independently in an async, remote environment

• Prior experience with data annotation, data quality assurance, or evaluation systems

• Background in pharmacovigilance, post-market surveillance, or real-world evidence

• Familiarity with AI tools or clinical data platforms

- Experience in translational research or early-phase drug development

• Experience in translational research or early-phase drug development

• Work directly on frontier AI systems with real impact on clinical and biomedical research

• Fully remote and async — work when and where it suits you, with no commute and no fixed schedule

• Freelance autonomy: choose your hours, control your workload, and collaborate globally

• Influence how AI understands, evaluates, and communicates real-world clinical evidence

• Contribute to work that sits at the intersection of regulatory science and cutting-edge AI

• Potential for ongoing collaboration and contract extension as new projects launch