Data Science Fellowship Program


The Duke AI Health Data Science Fellowship Program is a training program focused on the development, application, and deployment of AI and data science methods for clinical medicine. Our aim is to support and promote world-class AI health research across Duke Health and Duke University while training the next generation of health data scientists. The fellowship program is equally committed to methodological rigor and innovation, as well as healthcare relevance and impact.

Structure and expectations

Fellowship positions typically last two years, with the possibility for extension. Each fellow has a quantitative faculty mentor who oversees their training and cultivates expertise in specific data science methods and their application to health. Fellows also receive project-specific clinical mentorship to support their training in healthcare applications and ensure their work addresses real healthcare needs. The AI Health Fellowship leadership provides training activities and maintains a collaborative, inclusive learning environment promoting outstanding, trustworthy AI Health research.

Fellows learn and uphold best practices in project, data, and code management; project documentation and reproducibility; and effective collaboration in an academic medical center environment. They attend and present their work at biweekly research meetings, AI Health seminars, Health Data Science Poster Showcases, and other events.


The program is designed for early-career data scientists with strong backgrounds in quantitative disciplines. Fellows are a mix of:

  • PhD candidates in quantitative departments at Duke University
  • Associate in Research staff members with a Master’s degree or above in a quantitative field

Current openings

Associate in Research staff positions are created on a rolling basis when there is the demand and funding to support a fellow. They are searchable on the Duke Careers website ( and posted as they become available.

Meet the AI Health Fellows

AI Health Fellow Alumni

After completing the Duke AI Health Data Science Fellowship Program, Fellows have embarked on data science career paths in industry and academia. Examples of positions that Fellows have taken immediately following the conclusion of the program include:

• Data Analytics Training Specialist at Alliance Health
• Medical Image Scientist at Brown University
• Data Scientist at Edge Analytics
• Co-Founder of Aerology
• Machine Learning Specialist at Alva Health Inc.
• Scientist, Data Science Analytics & Insights at Janssen Research & Development
• Data Scientist in Epidemiology at Biobot Analytics
• Computer Vision Engineer at Aurora Solar
• Data Scientist at the Laboratory for Transformative Administration in the Duke School of Medicine Department of Surgery

Program Leadership team


Matthew Engelhard

Faculty Director, AI Health Data Science Fellowship Program

Photograph of Amanda Brucker

Amanda Brucker

Senior Operations Lead and Statistical Mentor


Lacey Rende

Project Planner

Ben Goldstein

Ben Goldstein

Fellowship Program Senior Advisor



If you have any questions not addressed here, please email

Related opportunities


AI Health events and workshops: