The Department of Biomedical Informatics, University of Pittsburgh School of Medicine, is improving clinical care and biomedical research via innovative applications in data mining, text processing, AI/machine learning, and biosurveillance.

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Certificate, Master’s & Doctoral Programs: Our program is designed to combine rigorous and in-depth research training with flexibility to tailor your program with elective courses from across the University.

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Postdoctoral Fellowship & Summer Internship: Enhance your research training and gain the additional skills you need for a successful academic career.

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Undergraduate Research: The Accessible & Inclusive Biomedical Informatics & Data Science (AIBIDS) is a full-time 10-week internship in informatics/data science under a faculty member or trainee at Pitt or Gallaudet University.

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Biomedical Informatics Training Opportunities!

The University of Pittsburgh’s Biomedical Informatics Training Program offers exciting opportunities in the applications of machine learning, artificial intelligence, and biomedical informatics through a range of degree and non-degree options:

Certificate in Biomedical Informatics
Masters Degree (MS) in Biomedical Informatics (including post-doctoral MS)
Doctoral Degree (PhD) in Biomedical Informatics
MS or PhD in Intelligent Systems – Biomedical Informatics Track
MD/PhD in Biomedical Informatics
Non-degree Postdoctoral Training

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Apply to DBMI

Learn more about our Alumni in the Department of Biomedical Informatics.

Alumni

Learn more about our Training Program in the Department of Biomedical Informatics.

Training Program

Learn more about our Research in the Department of Biomedical Informatics.

Research

News

Read about Biorepository Informatics!

Next Generation Biorepository Informatics: Supporting Genomics, Imaging, and Innovations in Spatial Biology By Chenyu Li, Rumana Rashid, Eugene M. Sadhu, Sandro Santagata, and Michael J. Becich Read the entry here! 

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Events

DBMI Colloquium Speaker – Ting Ye – April 11, 2025

Multivariable Mendelian Randomization in High-Throughput Experiments  Ting Ye, PhD Biostatistics University of Washington   Department of Biomedical Informatics Colloquium Series – Spring 2025 - 11:00 am – 12:00 pm407a/b BAUM5607 Baum BlvdPittsburgh, PA...

DBMI Colloquium Speaker – Rachel D. Melamed – April 4, 2025

Drug repurposing integrating genetics and causal graph models of health records Rachel D. Melamed, PhD Biological Sciences, Biomedical Engineering, Center of Biomedical and Health Research in Data Sciences (CHORDS) University of Massachusetts at Lowell  ...

DBMI Colloquium Speaker – Rayid Ghani – March 28, 2025

Title Pending Rayid Ghani, PhD Machine Learning Department, Heinz College of Information Systems and Public Policy Carnegie Mellon University   Department of Biomedical Informatics Colloquium Series – Spring 2025 - 11:00 am – 12:00 pm407a/b BAUM5607 Baum...