Principal Clinical Scientist

Job summary

Design and review clinical trial protocols and audit trial results to ensure datasets and analyses meet regulatory-grade standards. Evaluate AI-generated clinical analyses and provide structured expert feedback to improve how AI systems reason about clinical evidence.

Job details

Principal Clinical Scientist (AI Training) About The Role What if your years of clinical trial expertise could directly shape how AI understands, evaluates, and reasons about medical evidence? We're looking for a Principal Clinical Scientist to bring senior-level rigor to AI-driven research workflows — ensuring that the clinical data powering next-generation AI systems meets the same standards expected in real-world regulatory submissions. This is a fully remote, flexible contract role designed for experienced clinical scientists who want to work at the intersection of medicine 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, regulatory-grade datasets for AI training Interpret and audit clinical trial results for accuracy, consistency, and alignment with regulatory standards Evaluate AI-generated clinical analyses for scientific soundness and compliance with FDA, EMA, or equivalent agency expectations Provide expert, structured feedback that directly improves how AI models reason about clinical trial data, outcomes, and evidence Work independently and asynchronously — fully on your own schedule Who You Are Senior-level experience designing clinical trial protocols intended for regulatory submission Deep expertise interpreting clinical data for regulatory agencies such as the FDA, EMA, or equivalent Strong background in clinical research methodology, biostatistics, or translational science Naturally rigorous and detail-oriented — you hold AI outputs to the same standards you'd apply to a real submission Clear and confident communicator who can translate complex clinical concepts into actionable feedback Nice to Have Prior experience with data annotation, data quality review, or AI evaluation systems Background in pharmacovigilance, medical affairs, or clinical operations Familiarity with AI tools or content evaluation workflows Experience working across multiple therapeutic areas or regulatory jurisdictions Why Join Us Work directly on frontier AI systems that are reshaping clinical and biomedical research Influence how AI understands, evaluates, and applies 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 on high-impact projects 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 datasets and analyses meet regulatory-grade standards. Evaluate AI-generated clinical analyses and provide structured expert feedback to improve how AI systems reason about clinical evidence.

Requirements

Requires senior-level experience designing clinical trial protocols for regulatory submission and expertise interpreting clinical data for agencies such as the FDA or EMA. Candidates should have a strong background in clinical research methodology, biostatistics, or translational science, along with rigorous attention to detail and clear communication skills.

Benefits

• Flexible Schedule
• Remote Work
• Potential for Ongoing Contract Work

Listed skills

• Clinical Operations · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Clinical Trial Protocol Design
• Clinical Data Interpretation
• Regulatory Submissions
• Clinical Research Methodology
• Biostatistics
• Translational Science
• Clinical Trial Auditing
• AI Evaluation
• Data Quality Review
• Data Annotation
• FDA Regulatory Standards
• EMA Regulatory Standards
• Scientific Communication
• Pharmacovigilance
• Medical Affairs
• Clinical Operations

Job areas

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

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