[Hiring] Associate Director, Clinical Artificial Intelligence @Clinton Health Access Initiative

Role Description

CHAI is seeking an Associate Director to lead its Clinical AI portfolio, focusing on bringing AI-powered Clinical Decision Support (CDS) tools to CHAI partner countries in a thoughtful and responsible manner. This role requires both deep engagement on technical and clinical questions and strong relationship management across a diverse set of stakeholders.

• Lead CHAI's clinical AI portfolio, defining strategy and priorities for AI-powered Clinical Decision Support initiatives across CHAI's global programs.
• Build and manage a small team focused on clinical AI, providing mentorship, setting direction, and ensuring high-quality execution.
• Develop and maintain partnerships with AI labs, technology companies, academic institutions, and other organizations working on clinical AI tools relevant to LMIC settings.
• Serve as a key translator between LMIC Ministry of Health partners and technology organizations, ensuring that clinical AI tools are adapted to local clinical workflows, infrastructure constraints, and health system priorities.
• Work closely with CHAI country teams and government counterparts to design, implement, and scale clinical AI pilots, ensuring strong government ownership and sustainability.
• Provide clinical and technical guidance on AI tool selection, validation, and deployment, drawing on expertise in clinical practice, AI capabilities, and product development.
• Contribute to CHAI's broader AI strategy and learning agenda, including developing frameworks for responsible AI deployment in clinical settings.
• Represent CHAI externally on clinical AI topics, including at conferences, in donor meetings, and with global health partners.
• Support fundraising efforts for clinical AI work, including contributing to proposal development, donor engagement, and reporting.
• Travel internationally during intensive project periods (50%+), with overall travel averaging 10-25% annually.
• Undertake other responsibilities as needed at the request of the Senior Director, AI or senior leadership.

Qualifications

• Bachelor's degree or equivalent and at least 10 years of relevant professional experience.
• Entrepreneurial mindset motivated by ambitious goal to bring improved clinical care to 1 billion plus people enabled by AI.
• Demonstrated expertise in AI and strong familiarity with clinical decision support systems, machine learning in healthcare, and the current landscape of clinical AI tools.
• Experience in product management, technical consulting, or technology implementation in healthcare or global health settings.
• Track record of managing complex, multi-stakeholder projects from concept through implementation.
• Strong technical translation skills, including the ability to communicate effectively between clinical, technical, and policy audiences.
• Experience building and managing teams, with demonstrated ability to mentor and develop staff.
• Excellent problem-solving, analytical, and strategic thinking skills.
• Strong written and oral communication skills in English, including the ability to represent an organization externally and prepare compelling materials for diverse audiences.
• Ability to build and maintain relationships with senior stakeholders across government, technology, and global health sectors.
• Entrepreneurial mindset with comfort navigating ambiguity and driving initiatives with limited structure.
• Willingness and ability to travel internationally, including intensive periods (50%+) during project launches, averaging 10-25% overall.

Preferred Qualifications

• Clinical training (e.g., MD, RN, or other clinical degree) or experience in clinical settings such as research or at clinical health tech company strongly preferred.
• Experience working with governments, multilateral organizations, and/or in LMIC health settings.
• Background in digital health, health informatics, or health technology startups/companies.
• Experience with AI/ML validation, regulatory considerations, or responsible AI frameworks in healthcare.
• Proficiency in languages spoken in CHAI program countries (Hindi, French, Swahili, etc.).