Manager, AI - Diagnostics
RemoteUnited States
Job Summary
Lead the team's ongoing research on the AI diagnostics landscape by scanning, assessing, and synthesizing emerging tools and their relevance for low- and middle-income countries. Assess technical readiness of priority diagnostics, including training dataset quality, model architectures, and sample sizes, while running deep-dive research on specific data gaps. Use disease-burden data to identify high-burden conditions lacking viable AI diagnostics, informing investment priorities and engagement with developers. Develop market intelligence on evidence, performance, cost, and regulatory status, and lead maturity assessments from proof-of-concept through regulatory approval. Prepare analyses, briefs, and presentations for internal leadership, government partners, and donors, while building analytical tools to automate research and reporting. Support cost-effectiveness prioritization, engage with technology developers and partners on data and model questions, and contribute to fundraising and proposal development. Report to the AI Diagnostics lead with 20-40% international travel, including occasional multi-week trips.
Required Qualifications
- Bachelor's degree or equivalent
- 4 to 8 years of relevant professional experience
- A strong quantitative skill set
- A solid command of core machine learning concepts
- The ability to judge training-data quality and representativeness
- The ability to reason about model performance and architectures
- The ability to interpret sample-size and validation questions
- The aptitude to pick these up quickly and apply them in practice
- Excellent problem-solving and analytical skills
- 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)
- 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
- Comfort in a fast-paced, rapidly evolving environment
- The ability to work independently with limited guidance
- The ability to navigate ambiguity
- The ability to propose and implement new approaches
- Strong written and oral communication skills in English
- 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
- 20-40% international travel
- Occasional multi-week trips
- Ability to obtain work authorization
Desired 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
- 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.)
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.