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Internship Machine Learning Postdoc Jobs in Pittsburgh, PA

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

... AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships, work experience ...

Waabi

2026 Intern, PhD Research Scientist

Pittsburgh, PA · On-site

$60/hr

... AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. - Demonstrated research/software engineering experience: through previous internships, work experience ...

Waabi

Research Scientist, Learnable Planner

Pittsburgh, PA · On-site +1

$158K - $269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... internships, work experience, research projects, and papers at top conferences. - Strong ...

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All JobsMachine Learning Postdoc JobsInternship Machine Learning Postdoc JobsInternship Machine Learning Postdoc Jobs in Pittsburgh, PA

Internship Machine Learning Postdoc information

See Pittsburgh, PA salary details

$24.8K

$41.3K

$85.4K

How much do internship machine learning postdoc jobs pay per year?

As of Aug 15, 2026, the average yearly pay for internship machine learning postdoc in Pittsburgh, PA is $41,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,600.00 and $44,700.00 per year, depending on experience, location, and employer.

What are the most commonly searched types of Machine Learning Postdoc jobs in Pittsburgh, PA?

The most popular types of Machine Learning Postdoc jobs in Pittsburgh, PA are:

Internship Machine Learning Postdoc jobs near you

Post Doctoral.Post Doctoral.Associate

University of Pittsburgh

Pittsburgh, PA • On-site

$47K - $64K/yr

Full-time

Re-posted 18 days ago

Job description

Postdoctoral Associate in AI-Driven Omics Analysis and Drug Discovery at the Vascular Medicine Institute, Department of Medicine, School of Medicine, University of Pittsburgh 

The Vascular Medicine Institute at the University of Pittsburgh is seeking a highly motivated postdoctoral associate to join a computational research program focused on AI-driven omics analysis, systems biology, and therapeutic discovery. The successful candidate will develop and apply computational and deep learning approaches to understand how complex biological stressors drive molecular, cellular, and organ dysfunction, and to identify therapeutic strategies for disease treatments. The project will involve large-scale analysis and integration of transcriptomics, single-cell RNA-seq, and other omics modalities.

Our research group operates at the intersection of computational biology, systems medicine, and translational science within the Vascular Medicine Institute. We focus on integrating large-scale omics data with mechanistic modeling to uncover systemic drivers of disease. This position provides a unique opportunity to develop broadly applicable computational frameworks for understanding organ dysfunction and therapeutic intervention.

Major duties:

  • Develop and apply AI/deep learning models for omics-based disease mechanism discovery and therapeutic prediction.
  • Analyze and integrate high-throughput omics datasets, including bulk RNA-seq, single-cell/nuclei RNA-seq, epigenomics, proteomics, metabolomics, and genomics.
  • Develop and refine drug-repurposing and target-prioritization algorithms using disease signatures, perturbation datasets, signaling networks, and drug-target databases.
  • Build computational pipelines for preprocessing, quality control, harmonization, and integration of public and internal omics datasets.

Minimum Requirements for the candidate:

  • PhD in statistical learning, computational biology, systems biology, data science, or a related quantitative discipline.
  • Fluency in Python programming language
  • Experience with high-throughput omics data analysis
  • Strong foundation in statistics, machine learning, mathematics, and biological data interpretation

Interested applicants should apply via join.pitt.edu Requisition #26003687

Apply