Principal Clinical Scientist (AI Training)
About The Role
What if your years of clinical trial expertise could directly shape how AI reasons about medical evidence, regulatory submissions, and patient outcomes We're looking for a Principal Clinical Scientist to bring senior-level rigor to frontier AI research — ensuring the clinical data that trains and evaluates next-generation AI systems meets the standards expected in real-world regulatory environments.
This is a fully remote, flexible contract role designed for experienced clinical scientists who want to contribute to something genuinely new. You don't need an AI background — just deep expertise in clinical trial design, regulatory data interpretation, and the scientific standards that matter most.
- 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, endpoints, and outcomes
- Help set the standard for how clinical rigor is applied across AI-driven biomedical research workflows
Who You Are
- Senior-level experience designing clinical trial protocols for regulatory submission
- Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or international equivalents
- Strong command of clinical research methodology, biostatistics, or translational science
- Comfortable working independently and asynchronously — you know how to manage your own time and deliver high-quality work without hand-holding
- Sharp written communicator who can translate complex regulatory reasoning into clear, structured feedback
Nice to Have
- Prior experience with data annotation, data quality review, or AI evaluation workflows
- Background in pharmacovigilance, outcomes research, or evidence synthesis
- Familiarity with AI tools or clinical decision support systems as an end user
Why Join Us
- Work directly on frontier AI systems shaping the future of clinical and biomedical research
- Fully remote and flexible — structure your hours around your life, not the other way around
- Freelance autonomy with the substance of meaningful, expert-level work
- Influence how AI understands, evaluates, and reasons about real-world clinical evidence at scale
- Collaborate with world-leading AI research teams on problems that genuinely matter
- Potential for ongoing work and contract extension as new projects launch
