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 years of clinical trial expertise could directly influence how AI understands and evaluates real-world medical evidence? We're looking for a Principal Clinical Scientist to bring senior-level clinical knowledge into cutting-edge AI research workflows — helping ensure that the AI systems shaping the future of biomedicine are built on rigorous, regulatory-grade science.
This is a fully remote, flexible contract role designed for senior clinical professionals who want to do meaningful work at the intersection of clinical science and frontier AI.
- 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 and evaluation
- 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
- Provide expert feedback that directly shapes how AI models reason about clinical trial data, outcomes, and methodology
- Apply your regulatory expertise — FDA, EMA, or equivalent — to validate the integrity of clinical data used in AI systems
Who You Are
- Senior-level clinical professional with hands-on experience designing clinical trial protocols for regulatory submission
- Deep expertise interpreting clinical data for major regulatory agencies such as the FDA, EMA, or equivalent bodies
- Strong grounding in clinical research methodology, biostatistics, or translational science
- Detail-oriented and rigorous — you hold data to the highest standards of accuracy and scientific integrity
- Comfortable working independently and asynchronously in a remote, task-based environment
Nice to Have
- Prior experience with data annotation, data quality review, or evaluation systems
- Background in AI-adjacent fields or health data science
- Experience reviewing or contributing to regulatory dossiers or clinical study reports
- Familiarity with clinical NLP tools or AI-assisted research platforms
Why Join Us
- Work directly on frontier AI systems making a real impact on clinical and biomedical research
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert-level work
- Influence how AI understands, evaluates, and reasons about real-world clinical evidence
- Collaborate with world-leading AI research teams and labs
- 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.