NIH-Funded Postdoctoral Positions in AI/Bioinformatics for Single-Cell Omic

Company:  Confidential

Job Title: NIH-Funded Postdoctoral Positions in AI/Bioinformatics for Single-Cell Omic

Job Number: 96769

Location: Pittsburgh, US

Job Description

NIH-Funded Postdoctoral Positions in AI/Bioinformatics for Single-Cell Omics

University of Pittsburgh School of Medicine | Osmanbeyoglu Lab
[Please click the Apply button for the link or email]

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.

 Osmanbeyoglu Lab: A collaborative and innovative lab focused on computational single-cell and spatial omics

Benefits: standard employee with outstanding health benefits

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
  • Excellent written and verbal communication skills
  • Independent, collaborative, motivated, and eager to make impactful discoveries

How to Apply: To apply, please email Dr. Osmanbeyoglu at [Please click the Apply button for the link or email] with: Your CV (including references), A brief statement of your research interests
Subject line: POSTDOC-APPLICATION-2025

Application Deadline: 2025-11-11

 

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