Post Doctoral Associate - Military veterans preferred

Post Doctoral Associate
Med-Biomedical Informatics - Pennsylvania-Pittsburgh - (25004201)

Postdoctoral Researcher – AI & Multi-Omics for Precision Medicine
Osmanbeyoglu Lab, University of Pittsburgh School of Medicine

The Osmanbeyoglu Lab, a computational omics research group at the University of Pittsburgh School of Medicine, is seeking a highly motivated postdoctoral researcher to join our team at the forefront of integrating artificial intelligence and multi-omics to advance precision medicine.

This fully funded position is supported by grants from the NIH/NIGMS/NCI and ARPA-H. The role offers flexibility for candidates interested in either:

• Developing interpretable deep learning methods for multi-omics data integration, or
• Applying computational tools to uncover context-specific regulatory mechanisms and therapeutic targets in complex diseases.

Key responsibilities:

• Address clinically meaningful questions in cancer detection and precision medicine
• Interpret bulk, single-cell, and spatial transcriptomics datasets
• Publish in high-impact journals and present at top-tier conferences (e.g., ISMB, RECOMB, ECCB)

About the Osmanbeyoglu Lab:
We are a collaborative and innovative group focused on computational omics, with affiliations including:

• Department of Biomedical Informatics (DBMI) — https://www.dbmi.pitt.edu/
• Center for Transcriptional Medicine (CTM) — https://ctm.pitt.edu/

Benefits:

• Standard employee benefits, including outstanding health coverage

Qualifications:

• Ph.D. in a quantitative or computational field (ML, data science, computational biology, bioinformatics, biostatistics, computer science, etc.)
• Strong coding skills in Python, R, or MATLAB, with experience in Linux
• Background in deep learning, machine learning, or image analysis
• Exposure to biological data (especially single-cell or spatial omics) is a plus, but not required
• Effective written and verbal communication skills
• Independent, collaborative, and motivated to make impactful discoveries

Assignment Category: Full-time regular
Required Attachments: Curriculum Vitae

Assignment Category Full-time regular



Equal employment opportunity, including veterans and individuals with disabilities.

PI277270201