Clinical Systems Analyst (AI Training) About the Role At Alignerr, we partner with the world's leading AI research teams and labs to build and train cutting-edge AI models.
Principal Clinical Scientist
Job description
Principal Clinical Scientist (AI Training)
About the Role
What if your career spent designing rigorous clinical trials and interpreting regulatory-grade data could directly influence how AI reasons about medicine? We're looking for a Principal Clinical Scientist to bring senior-level clinical expertise into the development of cutting-edge AI systems — ensuring the models shaping the future of biomedical research are built on a foundation of scientific rigor.
This is a fully remote, flexible contract role. You won't be running trials or filing submissions — you'll be doing something arguably more consequential: teaching AI to think like a seasoned clinical scientist.
- 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 training datasets for AI systems
- Interpret and audit clinical trial results to ensure accuracy, consistency, and alignment with regulatory standards
- Evaluate AI-generated clinical analyses for scientific soundness and regulatory relevance
- Identify gaps, errors, and weaknesses in how AI models reason about clinical evidence — and provide expert feedback to correct them
- Help define what "good" looks like when AI tackles clinical trial data, outcomes, and methodology
- Work independently and asynchronously on task-based assignments — on your own schedule
Who You Are
- Senior clinical scientist with deep, hands-on experience designing clinical trial protocols for regulatory submission
- Expert interpreter of clinical data for agencies such as the FDA, EMA, or equivalent regulatory bodies
- Strong grounding in clinical research methodology, biostatistics, or translational science
- Precise, rigorous thinker who can spot flawed reasoning or incomplete analysis quickly
- Clear written communicator who can document feedback in structured, actionable formats
- Self-motivated and reliable when working independently without direct supervision
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI training workflows
- Background in regulatory affairs, pharmacovigilance, or clinical operations
- Familiarity with AI tools or model evaluation platforms as an end user
- Experience in oncology, rare disease, or other complex therapeutic areas
Why Join Us
- Work on frontier AI systems alongside leading AI research labs — at the cutting edge of clinical and biomedical AI
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Make a direct, lasting impact on how AI understands and evaluates real-world clinical evidence
- Influence the standards that define how AI models approach regulatory science
- Potential for ongoing work and contract extension as new projects launch
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