Principal Clinical Scientist

Job summary

Design and review clinical trial protocols and audit trial results to ensure the evidence is accurate, scientifically sound, and relevant to regulatory expectations. Evaluate AI-generated clinical analyses and provide expert feedback to improve how AI systems interpret clinical data, endpoints, and outcomes.

Job details

Principal Clinical Scientist (AI Training) About 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 What You'll Do 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 Who You Are 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 Nice to Have 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 Why Join Us 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

What you’ll do

Design and review clinical trial protocols and audit trial results to ensure the evidence is accurate, scientifically sound, and relevant to regulatory expectations. Evaluate AI-generated clinical analyses and provide expert feedback to improve how AI systems interpret clinical data, endpoints, and outcomes.

Requirements

Requires senior-level, hands-on experience designing clinical trial protocols for regulatory submission and interpreting clinical data for agencies such as the FDA or EMA. Candidates should have strong grounding in clinical research methodology, biostatistics, or translational science, and be rigorous, detail-oriented, and comfortable working independently in a remote environment.

Benefits

• Flexible Schedule
• Remote Work
• Freelance Autonomy
• Potential for Ongoing Work and Contract Extension

Listed skills

• Regulatory Compliance · Preferred
• Attention to detail · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Clinical Trial Protocol Design
• Clinical Data Interpretation
• Regulatory Submission
• Regulatory Compliance
• Clinical Research Methodology
• Biostatistics
• Translational Science
• Clinical Evidence Evaluation
• AI Output Evaluation
• Data Annotation
• Data Quality Review
• Quality Standards Development
• Clinical Pharmacology
• Scientific Review
• Attention to Detail
• Remote Collaboration

Job areas

• Healthcare
• Science & Research
• Technology
• Data & Analytics

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