Application Guide
How to Apply for AI Fellow (AI4Science), AI Initiative, Global Health Programs
at Path
🏢 About Path
PATH is a global nonprofit dedicated to health equity, with a strong focus on innovation and collaboration to solve the world's most pressing health challenges. The AI Initiative within Global Health Programs is at the forefront of leveraging artificial intelligence to accelerate progress in disease surveillance, diagnostics, and treatment optimization, making a tangible impact on underserved populations. Working at PATH means contributing to mission-driven research with real-world applications.
About This Role
As an AI Fellow, you will lead AI-driven research projects that directly address critical health challenges, such as improving disease detection or optimizing treatment protocols in low-resource settings. You'll collaborate with cross-functional teams of global health experts and data scientists to develop and deploy machine learning models, and your work will contribute to the strategic direction of the AI Initiative while being published in scientific journals.
💡 A Day in the Life
A typical day might start with a team stand-up to discuss progress on an AI model for malaria diagnosis, followed by coding and debugging in Python. You'd then meet with epidemiologists to refine data requirements, and later draft a manuscript for submission to a journal. Afternoons could involve reviewing literature or presenting findings to stakeholders, with time reserved for mentoring interns or contributing to the AI Initiative's strategy.
🚀 Application Tools
🎯 Who Path Is Looking For
- A PhD graduate or equivalent expert in computer science or AI with a demonstrated focus on health applications, such as medical imaging, epidemiology, or clinical decision support.
- Proficient in Python and experienced with TensorFlow or PyTorch, with a portfolio of projects involving large-scale health data (e.g., EHRs, genomic data, or disease surveillance datasets).
- A strong publication record in top-tier AI or global health journals (e.g., Nature, Lancet Digital Health, NeurIPS, ICML), with at least 2-3 first-author papers.
- An excellent communicator and collaborator who can bridge the gap between technical AI research and practical global health needs, with experience working in interdisciplinary teams.
📝 Tips for Applying to Path
Tailor your CV to highlight specific global health applications of your AI work, such as projects on disease outbreak prediction or diagnostic model deployment in low-resource settings.
In your cover letter, explicitly connect your research to PATH's mission and the AI Initiative's focus areas (e.g., malaria, tuberculosis, maternal health).
Provide a link to a GitHub repository or portfolio that showcases clean, well-documented code for health-related AI models, ideally with a README explaining the problem and impact.
Emphasize any experience with data from low- and middle-income countries (LMICs) or collaborations with global health organizations, as this is highly relevant.
Mention any familiarity with regulatory or ethical considerations in AI for health, such as data privacy (e.g., HIPAA, GDPR) or bias mitigation.
✉️ What to Emphasize in Your Cover Letter
["Your passion for using AI to address health inequities and how your research aligns with PATH's goal of improving global health outcomes.", "Specific examples of AI projects you've led that have a clear health impact, including measurable results (e.g., improved diagnostic accuracy, reduced time to detection).", 'Your ability to work in cross-functional teams, citing a collaboration with domain experts (e.g., clinicians, epidemiologists) to translate a health problem into an AI solution.', "Your vision for contributing to the AI Initiative's strategic direction, such as proposing a new research area or scaling existing models."]
Generate Cover Letter →🔍 Research Before Applying
To stand out, make sure you've researched:
- → Read recent publications from PATH's AI Initiative or Global Health Programs to understand current projects and priorities.
- → Review PATH's annual reports and blog posts on AI in global health to grasp their impact metrics and success stories.
- → Familiarize yourself with the specific health challenges PATH focuses on, such as malaria, HIV, tuberculosis, and maternal/child health.
- → Look into any partnerships PATH has with academic institutions or tech companies in the AI space to understand the collaborative ecosystem.
💬 Prepare for These Interview Topics
Based on this role, you may be asked about:
⚠️ Common Mistakes to Avoid
- Submitting a generic application that does not mention global health or PATH's mission, as this signals lack of genuine interest.
- Overemphasizing purely technical achievements without linking them to real-world health impact or feasibility in resource-limited settings.
- Ignoring the collaborative nature of the role—avoid framing yourself as a solo researcher; instead, highlight teamwork and interdisciplinary experience.
📅 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:
Application Review
1-2 weeks
Initial Screening
Phone call or written assessment
Interviews
1-2 rounds, usually virtual
Offer
Congratulations!