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Eligibility
Undergraduate students from under-represented backgrounds including person who identify as belonging to a group that is underrepresented in biomedical and data sciences. Students must be over 18 years of age but may be from any University in the United States and territories.
Must be a U.S. Citizen or a U.S. Permanent Resident
Enrolled undergraduates or recent college graduate (not yet enrolled in a graduate program.)
2.75 GPA or higher.
Students from a computational background with an interest in biomedical research or students with a life science background with a strong interest in computer science are strongly encouraged to apply.
Application Deadline and Materials
A personal statement written as either an essay of 1-1.5 pages or a signed video (maximum of 3 minutes) in American Sign Language (ASL) explaining your interests in biomedicine and how this program will help you in your future goals for a career in biomedical informatics and data science.
A resume/CV that describes prior experience
Official academic transcripts.
Two signed letters of recommendation from persons who can speak about your academic interests and work ethic. Please have the persons email their signed letter of support as a PDF as an attachment to the program directors Richard Boyce (rdb20@pitt.edu) and Gaurav Arora (gaurav.arora@gallaudet.edu).
Applications are still open!
Program Dates
**Applications are currently closed for 2025!**
Internships start late May, 2025
Internships end late July, 2025
Complete Application Checklist
Complete Online Application
Personal Statement
Two signed letters of recommendation emailed by the recommenders to the program directors
Current Resume/CV
Academic Transcripts
Use this link to go to the application form
Questions? Contact the program directors Richard Boyce (rdb20@pitt.edu) and Gaurav Arora (gaurav.arora@gallaudet.edu). Please check if your question is answered on the FAQs page prior to sending an email.
Funding for AIBIDS is provide by the National Library of Medicine grant R25 LM014208 Building Accessible and Inclusive Paths for Students in Biomedical Informatics and Data Science.
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