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Principal Clinical Scientist
Job in
Toronto, Ontario, C6A, Canada
Listed on 2026-10-09
Listing for:
Alignerr Corp.
Full Time
position Listed on 2026-10-09
Job specializations:
-
Healthcare
AI Evaluation, Clinical Research -
Research/Development
AI Evaluation, Clinical Research
Job Description & How to Apply Below
The Role
What if your decades of clinical trial expertise could directly influence how AI reasons about medical evidence, regulatory data, and patient outcomes? We're looking for a Principal Clinical Scientist to bring senior-level rigor to the frontier of AI development — ensuring the clinical knowledge embedded in next-generation AI systems meets the highest standards of scientific and regulatory integrity.
This is a fully remote, flexible contract role designed for experienced clinical scientists who want to do meaningful work on their own schedule. No AI background required — your deep domain expertise is what matters.
- Organization:
Alignerr - Type:
Hourly Contract - Location:
Remote - Commitment: 10–40 hours/week
- Design and critically review clinical trial protocols used to generate high-quality, regulator-ready AI training datasets
- 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 shapes how AI models reason about clinical trial data, endpoints, and outcomes
- Help establish quality standards for clinical evidence used in cutting-edge AI research workflows
- Senior-level clinical scientist with hands‑on experience designing trial protocols for regulatory submission
- Deep expertise interpreting clinical data for major regulatory agencies (FDA, EMA, or equivalent)
- Strong grounding in clinical research methodology, biostatistics, or translational science
- Naturally rigorous and detail‑oriented — you hold clinical evidence to the highest standards
- Comfortable working independently and asynchronously in a remote environment
- Prior experience with data annotation, data quality review, or evaluation frameworks
- Background in clinical pharmacology, oncology, rare disease, or other specialized therapeutic areas
- Familiarity with AI tools or emerging applications of machine learning in clinical research
- Work directly on frontier AI systems shaping the future of clinical and biomedical research
- Influence how AI understands, evaluates, and communicates real-world clinical evidence
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, expert‑level work
- Collaborate with world‑leading AI research teams and labs
- Potential for ongoing work and contract extension as new projects launch
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