Alignerr
Principal Clinical Scientist
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Principal Clinical Scientist (AI Training)
About The Role
What if your expertise in clinical trial design and regulatory-grade data interpretation could directly shape how AI reasons about biomedical evidence — influencing systems used by researchers and clinicians worldwide?
We're looking for a Principal Clinical Scientist to bring senior-level clinical rigor into cutting-edge AI development. At Alignerr, we partner with the world's leading AI research labs to build and train frontier AI models. Your role is to ensure these systems understand, evaluate, and reason about clinical data the way a seasoned expert would — accurately, critically, and to regulatory standard.
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
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 expectations
- Provide expert feedback that directly improves how AI models reason about clinical trial data, outcomes, and evidence hierarchies
- Help set the standard for what rigorous, trustworthy clinical reasoning looks like inside an AI system
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Who You Are
- Senior-level clinical scientist with hands-on experience designing clinical trial protocols for regulatory submission
- Deep expertise interpreting clinical data for regulatory agencies — FDA, EMA, or equivalent bodies
- Strong grounding in clinical research methodology, biostatistics, translational science, or a related discipline
- Precise, structured communicator who can articulate complex scientific reasoning in written feedback
- Self-directed and comfortable working independently in an asynchronous environment
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Nice to Have
- Prior experience with data annotation, data quality review, or evaluation systems
- Familiarity with AI tools or exposure to machine learning workflows in a clinical or research context
- Background spanning multiple therapeutic areas or regulatory jurisdictions
Why Join Us
- Work directly on frontier AI systems that are shaping the future of clinical and biomedical research
- Influence how AI understands, evaluates, and communicates real-world clinical evidence
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the substance of genuinely impactful, expert-level work
- Collaborate with a global network of researchers and AI specialists
- Potential for ongoing work and contract extension as new projects launch
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