Alignerr
Principal Clinical Scientist
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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 reasons about biomedical evidence?
We're looking for a Principal Clinical Scientist to bring senior-level clinical rigor to cutting-edge AI research. In this role, you'll help ensure the clinical data powering next-generation AI systems meets the exacting standards expected in real-world regulatory submissions—and that the AI itself reasons about that data with scientific integrity.
This is a fully remote, flexible contract role built for senior clinical professionals who want to work at the intersection of rigorous science and frontier technology.
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 (FDA, EMA, or equivalent)
- Evaluate AI-generated clinical analyses for scientific soundness and regulatory relevance
- Provide structured expert feedback that directly improves how AI models reason about clinical trial data, outcomes, and endpoints
- Work independently and asynchronously—on your own schedule, at your own pace
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Who You Are
Core Requirements
- Senior-level clinical scientist with hands-on experience designing clinical trial protocols for regulatory submission
- Deep expertise interpreting clinical data in the context of major regulatory agencies (FDA, EMA, or equivalent)
- Strong foundation in clinical research methodology, biostatistics, translational science, or a closely related discipline
- Rigorous, detail-oriented thinker who holds AI-generated outputs to the same standards as real-world submissions
- Clear and precise written communicator who can articulate complex scientific reasoning effectively
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Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in pharmacovigilance, medical affairs, or clinical operations
- Exposure to real-world evidence (RWE) or post-market clinical studies
- Familiarity with AI tools or scientific content evaluation platforms
Why Join Us
- Work directly on frontier AI systems being built alongside the world's leading AI research labs
- Shape how AI understands and evaluates real-world clinical evidence—a genuinely rare opportunity
- Fully remote and flexible—work when and where it suits you
- Freelance autonomy with the structure of meaningful, impactful scientific work
- Potential for ongoing work and contract extension as new projects launch
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