Description:The Clinton Health Access Initiative, Inc. (CHAI) was founded in 2002 with a transformational goal: help save the lives of millions of people living with HIV/AIDS in the developing world by dramatically scaling up antiretroviral treatment. When CHAI was founded, many viewed this goal as unreasonable…
The Clinton Health Access Initiative, Inc. (CHAI) was founded in 2002 with a transformational goal: help save the lives of millions of people living with HIV/AIDS in the developing world by dramatically scaling up antiretroviral treatment. When CHAI was founded, many viewed this goal as unreasonable because health systems in poor countries were too weak and prices of relevant drugs and diagnostic tests were too high. CHAI played a leadership role, working alongside governments and other partners, to lower the costs of treatment and help build the in-country systems necessary to provide lifesaving treatment to millions of people. Since then, CHAI has pursued several similarly ambitious goals, from scaling up pediatric AIDS treatment in order to achieve equity with adults in a time frame few thought possible, to rapidly accelerating the rollout of new vaccines.View moreView less
Lead the team's ongoing research on the AI diagnostics landscape: scanning, assessing, and synthesizing both the tools available today and the promising tools still emerging or yet to be built, and how relevant each is for low- and middle-income countries
Assess the technical readiness of priority diagnostics, including the quality and representativeness of training datasets, model architectures, and the adequacy of sample sizes; run focused deep-dive research on priority questions, such as data gaps for specific tools or hardware
Use disease-burden data to identify high-burden conditions that lack a viable AI diagnostic, informing CHAI's investment priorities and engagement with developers
Develop and maintain CHAI's market intelligence on the AI diagnostics landscape, covering evidence, performance, cost, and regulatory status, as a resource for internal teams and, over time, external partners
Lead the maturity assessment of priority diagnostics, from research proof-of-concept through regulatory approval to deployable scale
Prepare analyses, briefs, and presentations that communicate strategy, progress, and impact to internal leadership, government partners, and donors
Build and maintain analytical tools and workflows, including with modern AI tools, to automate research and reporting
Support engagement with technology developers, research institutions, and partners on data and model questions
Support the cost-effectiveness prioritization that helps determine where CHAI focuses, and help 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 needed at the request of the team lead or senior leadership
Qualifications
Bachelor's degree or equivalent and 4 to 8 years of relevant professional experience; backgrounds in quantitative fields such as data science, statistics, biostatistics, epidemiology, economics, computer science, or mathematics are welcome
A strong quantitative skill set and a solid command of core machine learning concepts, with the ability to judge training-data quality and representativeness, reason about model performance and architectures, and interpret sample-size and validation questions; the aptitude to pick these up quickly and apply them in practice is equally valuable
Excellent problem-solving and analytical skills, with the judgment to deliver a clear, defensible recommendation under time pressure
Demonstrated ability to synthesize complex technical and quantitative information for non-technical audiences
Familiarity with modern AI tools and platforms (e.g., Claude, ChatGPT, Gemini) with informed perspectives on their relative strengths and limitations
Willingness to use modern AI coding tools to rapidly prototype, automate, and build lightweight analytical tools
Entrepreneurial mindset and comfort in a fast-paced, rapidly evolving environment, including the ability to work independently with limited guidance, navigate ambiguity, and propose and implement new approaches
Strong written and oral communication skills in English, including the ability to prepare compelling presentations, memos, and technical documentation
Ability to build collaborative relationships with diverse stakeholders, including government officials, technical teams, and international partners
High level of proficiency in Microsoft Office
Preferred Qualifications
Graduate degree in a quantitative or health-related field (e.g., data science, machine learning, biostatistics, epidemiology, economics, or public health with a quantitative focus)
Proficiency in Python, R, or other programming languages, and experience with data-analysis or machine-learning workflows
Familiarity working with large datasets, including from IHME, WHO, and other public data sources
Hands-on experience with AI “vibe-coding” and automation tools
Experience working with governments, multilateral organizations, and / or in LMIC settings
Background in global health, public health, digital health, or applied research using health data
Proficiency in languages spoken in CHAI program countries (Hindi, French, Swahili, etc.)
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