Senior Machine Learning Expert (AI Training) About the Role What if your deep knowledge of machine learning could directly shape how the world's most advanced AI systems reason, plan, and make decisions?
Principal Clinical Scientist
Job description
Principal Clinical Scientist (AI Training)
About the Role
What if your career-long expertise in clinical trial design and regulatory science could directly influence how AI understands and evaluates medical evidence?
We're looking for a Principal Clinical Scientist to bring senior-level rigor to the AI systems being built at the frontier of biomedical research. You'll work alongside world-leading AI labs to ensure that clinical data powering next-generation AI models meets the standards expected in real-world regulatory submissions.
This is a fully remote, flexible contract role — work on your own schedule, on your own terms.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
What You'll Do
- Design and critically review clinical trial protocols used to generate high-quality, regulator-ready datasets for AI training and evaluation
- 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 standards
- Provide expert, structured feedback that directly shapes how AI models reason about clinical data, trial outcomes, and biomedical evidence
- Identify gaps, errors, or misalignments between AI outputs and real-world regulatory expectations
Who You Are
- Senior-level clinical scientist with hands-on experience designing clinical trial protocols for regulatory submission
- Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or their international equivalents
- Strong grounding in clinical research methodology, biostatistics, or translational science
- Rigorous, detail-oriented, and comfortable working independently on complex scientific material
- Clear and precise written communicator — you can articulate nuanced scientific judgment in structured formats
Nice to Have
- Prior experience with data annotation, data quality evaluation, or AI model assessment workflows
- Background in pharmacovigilance, medical affairs, or health technology assessment
- Familiarity with AI tools or scientific evaluation platforms as an end user
Why Join Us
- Work directly on frontier AI systems making a real impact in clinical and biomedical research
- Influence how the next generation of AI understands, evaluates, and reasons about real-world clinical evidence
- Fully remote and flexible — work when and where it suits you, with no fixed schedule
- Freelance autonomy with the substance of high-impact, expert-level scientific work
- Collaborate with leading AI research teams on problems that matter
- Potential for ongoing work and contract extension as new projects launch
Compensation by region
Pay varies by where you're based. Each region below is open to applicants in that country only.
Available in 2 regions: pick your country on click.