Application Guide

How to Apply for Manager, AI - Diagnostics

at Clinton Health Access Initiative (CHAI)

🏢 About Clinton Health Access Initiative (CHAI)

The Clinton Health Access Initiative (CHAI) is a global health nonprofit founded in 2002 with a mission to save lives and improve health outcomes in low- and middle-income countries. CHAI is known for its market-shaping approach, leveraging data and analytics to drive down costs and increase access to essential medicines and diagnostics. Working here offers a unique opportunity to apply cutting-edge AI and data science to some of the world's most pressing health challenges, with a culture that values innovation, collaboration, and impact.

About This Role

As the Manager, AI - Diagnostics, you will lead the research and analytics that shape CHAI's investment and strategy in AI-based diagnostic tools for low- and middle-income countries. This role is pivotal in identifying where AI can have the greatest impact on high-burden diseases, evaluating the technical and regulatory readiness of emerging diagnostics, and providing market intelligence to guide global health stakeholders. Your work will directly influence which AI diagnostics get developed, funded, and deployed to underserved populations, making this a high-impact position at the intersection of technology and global health.

💡 A Day in the Life

A typical day might involve analyzing disease burden datasets to identify high-priority conditions, reviewing academic papers and technical reports on AI diagnostics, and collaborating with global health partners to understand their needs. You'll spend time writing up market intelligence briefs, presenting findings to internal teams, and possibly engaging with external stakeholders to validate your assumptions. The role offers a mix of deep technical work and strategic thinking, with the flexibility of remote work and the opportunity to make a tangible impact on global health.

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Interview Prep

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🎯 Who Clinton Health Access Initiative (CHAI) Is Looking For

  • A quantitative expert with 4-8 years of experience in data science, statistics, epidemiology, or a related field, and a proven ability to apply machine learning concepts to real-world problems.
  • Proficient in Python or R, with hands-on experience in data analysis, statistical modeling, and working with large datasets (including disease burden data).
  • A self-starter who thrives in ambiguous, fast-moving environments and can independently design and execute research projects with minimal supervision.
  • Passionate about global health equity and eager to use your technical skills to improve access to diagnostics in low-resource settings, with a collaborative mindset to work with diverse stakeholders.

📝 Tips for Applying to Clinton Health Access Initiative (CHAI)

1

Tailor your resume to emphasize quantitative projects, especially those involving healthcare data, diagnostic accuracy, or machine learning model evaluation. Use specific metrics (e.g., sensitivity, specificity, AUC) to showcase your impact.

2

In your cover letter, explicitly connect your experience with AI diagnostics to global health. For example, describe any work you've done on disease detection, medical imaging, or health data analysis in under-resourced settings.

3

Research CHAI's current initiatives and mention a specific program or disease area (e.g., tuberculosis, cervical cancer, or malaria) where you see AI diagnostics making a difference. This shows you've done your homework and are genuinely interested in their mission.

4

Highlight your ability to work independently and manage ambiguity by providing examples of projects where you took initiative, defined your own methodology, or navigated unclear requirements.

5

Since the role involves evaluating regulatory pathways, demonstrate your understanding of regulatory frameworks for diagnostics (e.g., FDA, WHO prequalification) and how they differ between high-income and low-income countries.

✉️ What to Emphasize in Your Cover Letter

['Emphasize your quantitative expertise and how it directly applies to assessing AI diagnostic tools, such as evaluating model performance, data quality, and clinical impact.', "Show genuine passion for global health and CHAI's mission, with a clear articulation of why you want to apply your AI skills to improve diagnostics in low- and middle-income countries.", 'Highlight your ability to synthesize complex technical information into actionable insights for non-technical stakeholders, as the role involves developing market intelligence for internal and external partners.', 'Provide a concrete example of how you have used data to drive decision-making or inform strategy in a previous role, demonstrating your impact-oriented mindset.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Explore CHAI's website to understand their current programs, especially in diagnostics and AI-related initiatives. Look for any published reports or case studies on AI in global health.
  • → Read recent publications from CHAI on topics like tuberculosis diagnostics, cervical cancer screening, or digital health to get a sense of their analytical approaches and priorities.
  • → Familiarize yourself with the landscape of AI diagnostics in low- and middle-income countries, including key players, funding bodies, and notable challenges (e.g., data scarcity, infrastructure).
  • → Research the specific disease areas with high burden where AI diagnostics are lacking, as mentioned in the job description, and think about how you would prioritize them.
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you approach evaluating the technical readiness of an AI diagnostic tool for a specific disease like tuberculosis? What metrics and data would you consider?
2 Discuss a time when you had to work with incomplete or messy data. How did you handle it, and what was the outcome?
3 What is your experience with regulatory pathways for medical diagnostics, and how might they differ in low- and middle-income countries?
4 How would you use disease burden data to identify gaps in AI diagnostics? Can you walk us through your analytical process?
5 Given CHAI's market-shaping role, how would you assess the market for a new AI diagnostic? What factors would you consider beyond technical performance, such as cost, scalability, and supply chain?
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⚠️ Common Mistakes to Avoid

  • Don't submit a generic cover letter that doesn't mention CHAI or global health. This role is highly mission-driven, and a lack of genuine interest is easily spotted.
  • Avoid focusing solely on technical skills without showing how they apply to healthcare or diagnostics. The hiring team needs to see that you understand the context and constraints of low-resource settings.
  • Don't overlook the importance of regulatory knowledge. Even if you're not an expert, showing awareness of regulatory pathways and their challenges in LMICs is crucial for this role.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

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Good luck with your application to Clinton Health Access Initiative (CHAI)!

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