Associate Director – Applied AI

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Clinton Health Access Initiative, Inc.

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Clinton Health Access Initiative, Inc. (CHAI) is a nonprofit global health organization committed to building a world where everyone has access to healthcare. Founded in 2002, CHAI focuses on tackling major health issues like infectious diseases, maternal and child health, and non-communicable diseases through various programs in over 35 countries. By partnering with governments and organizations, CHAI aims to reduce the cost of healthcare, enhance health policies, and improve health systems, ultimately saving lives and fostering a healthier future.

📋 Description

• Serve as CHAI's senior technical advisor on machine learning and AI • Guide CHAI projects and Ministries of Health on responsible model development and deployment • Advise teams on selecting technical approaches across traditional machine learning, data science, large language models, and agentic systems • Provide quality assurance across projects by reviewing model building, evaluation, and performance measurement • Establish standards, methods, and guidance for rigorous model development and validation • Provide hands-on technical guidance and senior-advisor support to projects • Recruit, mentor, and build a global team of technical experts • Partner with government counterparts to build capacity to develop, evaluate, and sustain ML and AI solutions • Translate technical concepts and trade-offs for non-technical audiences • Stay current with developments in machine learning and AI and assess their relevance to CHAI's work • Undertake other responsibilities as needed to advance the technical quality of the AI team's work • Report to the Senior Director, Head of AI • Travel regularly to CHAI program countries, including occasional multi-week periods

🎯 Requirements

• Passion for AI and its potential to improve health systems in low- and middle-income countries • 8 to 12+ years of relevant professional experience in machine learning, data science, or a closely related technical field • Deep expertise in supervised learning, optimization and linear programming, and time series analysis • Hands-on experience with large language models and agentic systems • Demonstrated ability to evaluate model quality and rigorously measure and validate model performance • Advanced degree in data science, statistics, biostatistics, bioinformatics, computer science, or a related technical discipline, or equivalent practical experience • Excellent communication skills, including explaining technical concepts to non-technical audiences • Ability to think strategically, handle ambiguity, and problem solve in a fast-paced, limited-structure, multicultural environment • Willingness to undertake regular travel to CHAI program countries, including occasional multi-week periods • Preferred: experience applying machine learning or AI in health, global health, or global development contexts • Preferred: experience working in low- and middle-income country settings • Preferred: experience working with governments or Ministries of Health • Preferred: experience building, mentoring, or leading technical teams • Pending work authorization and country approval for CHAI country offices

🏖️ Benefits

• Telecommute / remote work • Regular travel to CHAI program countries • Equal employment opportunities • Diverse and inclusive work environment