Senior Clinical Scientist for AI Training & Regulatory Data

Alignerr Corp.; Charlotte (AR); Remote; USD 110,000 - 193,000; Part time

Job summary

Alignerr Corp. seeks a Principal Clinical Scientist to shape how real-world clinical data informs AI training for regulatory submissions. You’ll design and review trial prototypes, audit results, and ensure methodological rigor across datasets.

This remote, hourly-contract role offers flexible scheduling (10–40 hours/week) and collaboration with leading AI research teams. You’ll provide structured feedback to strengthen AI reasoning about endpoints and outcomes.

Qualifications

• Senior-level experience designing clinical trial protocols for regulatory submission.
• Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or equivalent international bodies.
• Strong grounding in biostatistics, translational science, or related methodology.
• Naturally detail-oriented with a systematic, evidence-driven approach to evaluation.
• Clear and precise written communicator able to articulate complex scientific reasoning in feedback.

Responsibilities

• Design and review clinical trial protocols used to generate regulator-ready datasets for AI training.
• Interpret and audit clinical trial results to ensure accuracy and regulatory alignment.
• Evaluate AI-generated clinical analyses for scientific soundness and methodological rigor.
• Provide expert, structured feedback to improve AI models' reasoning about endpoints and outcomes.
• Work independently and asynchronously — fully on your own schedule.

Skills

Senior-level protocol design

Regulatory data interpretation

Biostatistics knowledge

Regulatory submissions familiarity

Structured feedback writing

Job description

Alignerr Corp. seeks a Principal Clinical Scientist to shape how real-world clinical data informs AI training for regulatory submissions. You’ll design and review trial prototypes, audit results, and ensure methodological rigor across datasets.

This remote, hourly-contract role offers flexible scheduling (10–40 hours/week) and collaboration with leading AI research teams. You’ll provide structured feedback to strengthen AI reasoning about endpoints and outcomes.