AI Ready and Equitable Atlas for Diabetes Insights (AI-READI) Yearlong Research Internship Program

Here is the information from Bridge2AI program:

"AI Ready and Equitable Atlas for Diabetes Insights (AI-READI) Yearlong Research Internship Program (August 2024 - July 2025)

Program Overview:

The AI Ready and Equitable Atlas for Diabetes Insights program (AI-READI) is funded by the National Institutes of Health (NIH) through the Bridge to Artificial Intelligence (Bridge2AI) program, a large trans-NIH initiative to generate new datasets for advancing artificial intelligence (AI). One component of AI-READI is the Skills and Workforce Development Module, which includes the development of a yearlong mentored research internship program aimed at diversifying the future workforce at the intersection of data science/AI and the biomedical sciences and clinical research.

This internship program will be centered on developing skills and providing early exposure to AI, data science, and research, as well as the opportunity to gain exposure to faculty with expertise in AI and biomedical, clinical, and behavioral research. The program will include direct mentorship for a cohort of interns from AI-READI investigators/faculty mentors, as well as opportunities for career development. The program will correspond with an academic year timeline and will include an in-person two-week bootcamp at the University of California San Diego (UC San Diego) in the summer. After bootcamp, interns will work on a mentored research project related to AI-READI at sites across the country under the mentorship of AI-READI faculty mentors, while also engaging in a didactic curriculum conducted throughout the year. A year-end research symposium event will be held, which will allow interns to present their projects as well as provide an opportunity to interact with other interns and faculty members.

This is a paid internship, with monthly stipends ranging from about $2200 per month for predoctoral interns to $4500-$5500 per month for post-doctoral interns.

Curriculum Highlights:

Sample Research Projects:

Intern projects can span a wide range of areas. Pairings with research mentors will be made based on the intern’s area(s) of interest and career goals. Projects may involve direct analyses of the data generated by the overall AI-READI project (which involves multi-modal data collection from a diverse group of individuals with diabetes), developing tools for assessing or analyzing data, or advancing data standards related to a wide range of involved data types (e.g., electronic health records, wearables).