MD - Principal Clinical AI Evaluation Strategist

About the role

We are seeking an experienced Principal Clinical AI Evaluation Strategist (MD) to join our dynamic team. As a recognized authority in the field, you will set strategy and drive the vision for Generative AI Evaluation of Clinical Solutions and Global Medical Education Products. As a thought leader, you will develop Evaluation strategies, influence future dynamics in the field, and serve as a key supporter for implementing Generative AI Evaluation Frameworks for Clinical use cases.

Responsibilities

• 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

Requirements

• 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