Postdoctoral Scholar - Biomedical Informatics

University of Pittsburgh

Pittsburgh, PA

Job posting number: #7112366 (Ref:pt10070)

Posted: October 1, 2022

Application Deadline: Open Until Filled

Job Description

Postdoctoral research positions are immediately available in our research group to work at the intersection of single-cell genomics and machine learning. Postdocs will be working on clinically important questions in cancer and immunology.


-The Osmanbeyoglu Lab is a multi-disciplinary hybrid wet/dry lab at the University of Pittsburgh. We are affiliated with the Department of Biomedical Informatics, Bioengineering, Biostatistics, the Center for Systems Immunology, and UPMC Hillman Cancer Center
-Our projects are funded by NCI, NIGMS, and The Fund for Innovation in Cancer Informatics
-The University consistently ranks in the top 5 nationally for NIH biomedical research funding and the Cancer Center was recently ranked #7 by US News & World Report
-Candidates may be eligible to apply for the enhanced stipend and career development funding provided as a Hillman Postdoctoral Fellow for Innovative Cancer Research.

Qualifications or Expectations:


    Ph.D. in an applied quantitative discipline, such as computational biology, bioinformatics, biostatistics, mathematics, or computer science with a strong interest in translational biomedical research. Ideal candidates would have publications demonstrating experience with code development, applied mathematics, machine learning, deep learning, and/or computational biology. The candidate should 1) be able to work independently and as a member of a team, and 2) be hard-working, motivated, and eager to learn with an outstanding work ethic.

Opportunities Available:

  • Postdocs will engage with the broader systems biology communities by presenting work at top conferences, as well as publishing applications of new methods in high-impact journals.

Duties or Responsibilities:

  • We are looking for two types of candidates: those interested to develop and apply methods (e.g interpretable deep learning for single-cell multi-omics data integration) and those interested to apply and enhance methods for delineating cell context-specific regulatory programs for precision medicine.

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Job posting number:#7112366 (Ref:pt10070)
Application Deadline:Open Until Filled
Employer Location:University of Pittsburgh
United States
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