MD - Principal Clinical AI Evaluation Strategist

Principal Clinical AI Evaluation Strategist (MD)

This role is responsible for setting strategy and leading the evaluation of generative AI solutions for clinical and educational products, ensuring medical accuracy, reliability, and compliance within the healthcare domain.

• Setting and driving strategy for evaluating generative AI in clinical and medical education contexts, developing clear frameworks for assessing medical knowledge representation.
• Co‑developing evaluation roadmaps with product teams and medical professionals to ensure AI solutions meet clinical accuracy standards and educational objectives.
• Leading knowledge organization governance for clinical content evaluation, influencing standards and processes for AI‑driven medical information systems.
• Championing and managing complex projects evaluating AI models' performance in clinical use cases.
• Driving innovation in medical knowledge representation strategies for new areas of AI coverage.
• Developing and implementing content enrichment strategies that ensure clinical accuracy and relevance in AI outputs.
• Fostering cross‑functional collaboration between clinical experts, AI teams, and product developers.
• Guiding the evolution of evaluation standards for AI‑generated clinical content and medical education materials.
• Leading and mentoring team members in developing expertise in clinical AI evaluation.
• Creating advanced insights and recommendations for improving AI performance in healthcare applications.

• MD required, with 10+ years of clinical experience and expertise in medical informatics.
• Demonstrated experience in evaluating AI systems for clinical applications.
• Proven experience leading large expert teams using project management and agile methodologies.
• Expert‑level understanding of clinical knowledge systems and medical content validation.
• Track record of developing evaluation frameworks for AI in healthcare.
• Extensive understanding of medical terminology, clinical workflows, and healthcare education needs.
• Experience with clinical decision support systems and medical knowledge bases.
• Demonstrated ability to predict and influence trends in healthcare AI.
• Excellence in communicating complex medical and technical concepts to varied stakeholders.
• Extensive background in medical education and clinical content development.
• Experience mentoring teams in clinical AI evaluation methodologies.
• Innovative mindset with focus on improving healthcare outcomes through AI.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.