Manager, AI – Diagnostics

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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

• Lead research on the AI diagnostics landscape, assessing current and emerging tools and their relevance for low- and middle-income countries • Assess technical readiness of priority diagnostics, including training datasets, model architectures, sample sizes, and validation • Use disease-burden data to identify high-burden conditions lacking viable AI diagnostics • Develop and maintain market intelligence covering evidence, performance, cost, and regulatory status • Lead maturity assessments from proof-of-concept through regulatory approval and deployable scale • Prepare analyses, briefs, presentations, technical documentation, and recommendations for leadership, government partners, and donors • Build and maintain analytical tools and workflows using modern AI tools to automate research and reporting • Support engagement with technology developers, research institutions, and partners on data and model questions • Support cost-effectiveness prioritization and keep it current as the field evolves • Contribute to fundraising and donor engagement, including proposal development and reporting • Travel internationally 20–40% of the time, including occasional multi-week trips • Undertake other responsibilities as requested by the team lead or senior leadership

🎯 Requirements

• Bachelor's degree or equivalent and 4 to 8 years of relevant professional experience • Quantitative background in data science, statistics, biostatistics, epidemiology, economics, computer science, mathematics, or a related field • Strong quantitative skills and command of core machine learning concepts • Ability to assess training-data quality and representativeness, model performance and architectures, sample sizes, and validation • Excellent problem-solving and analytical skills • Ability to synthesize complex technical and quantitative information for non-technical audiences • Familiarity with modern AI tools and platforms such as Claude, ChatGPT, and Gemini • Willingness to use modern AI coding tools to prototype, automate, and build analytical tools • Entrepreneurial mindset and comfort in a fast-paced, evolving environment • Ability to work independently with limited guidance, navigate ambiguity, and implement new approaches • Strong written and oral communication skills in English • Ability to build collaborative relationships with diverse stakeholders • High proficiency in Microsoft Office • Willingness and ability to travel internationally 20–40% of the time, including occasional multi-week trips • Preferred: Graduate degree in a quantitative or health-related field • Preferred: Proficiency in Python, R, or other programming languages and data-analysis or machine-learning workflows • Preferred: Familiarity with large datasets, including IHME, WHO, and other public data sources • Preferred: Hands-on experience with AI “vibe-coding” and automation tools • Preferred: Experience working with governments, multilateral organizations, and/or in LMIC settings • Preferred: Background in global health, public health, digital health, or applied research using health data • Preferred: Proficiency in languages spoken in CHAI program countries

🏖️ Benefits

• Telecommute / flexible remote location • 20–40% international travel, including occasional multi-week trips • Equal employment opportunity environment • Diversity and inclusion commitment