We are seeking highly motivated postdoctoral researchers to join the Osmanbeyoglu Lab, a computational omics lab at the University of Pittsburgh Medical School, at the forefront of integrating artificial intelligence and single-cell genomics to advance precision medicine.
These fully NIH-funded positions offer a unique opportunity to work at the interface of machine learning, single-cell multi-omics, and systems biology—developing and applying novel computational methods in collaboration with leading biologists and clinicians.
We are currently hiring for two postdoctoral roles:
1. Method Development Focus – Ideal for candidates with a strong AI/ML background interested in creating interpretable deep learning models for multi-omics data integration.
2. Application & Discovery Focus – For those passionate about using computational tools to uncover cell-context-specific regulatory mechanisms and therapeutic targets in complex diseases.
Both positions involve:
• Tackling clinically meaningful questions
• Interpreting complex single-cell and spatial transcriptomics datasets
• Publishing in high-impact journals and presenting at top-tier conferences
This is an exceptional opportunity for machine learning scientists looking to gain domain-specific expertise in computational biology.
Research Environment
• Osmanbeyoglu Lab: A collaborative and innovative lab focused on computational single-cell and cancer genomics
• Affiliations:
o Department of Biomedical Informatics (DBMI) www.dbmi.pitt.edu/
o Center for Transcriptional Medicine (CTM) ctm.pitt.edu/
• Funding: NIH/NCI/NIGMS, The Fund for Innovation in Cancer Informatics
Benefits
• Full-time University of Pittsburgh employee with outstanding health benefits
• Collaborative and intellectually stimulating environment
• Career development support including mentoring, networking, and conference travel
We welcome applicants with the following background:
• 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
• Excellent written and verbal communication skills
• Independent, collaborative, motivated, and eager to make impactful discoveries
To apply, please email Dr. Osmanbeyoglu at osmanbeyogluhu@pitt.edu with:
• Your CV (including references)
• A brief statement of your research interests
Subject line: POSTDOC-APPLICATION-2025