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

Events

DBMI Colloquium Speaker – Yanshan Wang – February 7, 2025

Generative AI in Healthcare: Opportunities, Challenges, and the Path Forward  Yanshan Wang, PhD Department of Health Information Management, School of Health and Rehabilitation Sciences, University of Pittsburgh   Department of Biomedical Informatics Colloquium...

DBMI Colloquium Speaker – Ying Ma – January 31, 2025

Statistical and Computational Methods for Integrative Analysis of Spatial Transcriptomics Data Ying Ma, PhD Center for Computational Molecular Biology, Department of Biostatistics Brown University    Department of Biomedical Informatics Colloquium Series – Spring 2025...

DBMI Colloquium Speaker – Mengjie Chen – January 24, 2025

Beyond variability: a novel gene expression stability metric to unveil homeostasis and regulation  Mengjie Chen, PhD Committee on Cancer Biology, Committee on Genetics, Genomics and Systems Biology University of Chicago   Department of Biomedical Informatics...