Pratik Shah
Just Landed
New Today
Postdoctoral Scholar Position: Generative AI for Health and Medicine (Shah Lab) University of California, Irvine in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Salary range $66,737-$80,034; effective 10/1/26 salary range $71,491-$85,736.
Deadline
Jun 30, 2027
Country
United States
University
University of California, Irvine
Apply for this position
Keywords
Suggested positions
About this position
The Computational Medicine Research Group at the University of California, Irvine, led by Prof. Pratik Shah, is recruiting a postdoctoral scholar to work at the intersection of generative AI, medical imaging, and clinical decision support. The project focuses on building and interpreting deep learning systems for digital biopsies from high-parameter pathology and other medical images, together with methods that connect molecular profiles to disease biology and support diagnostic tool development for clinical use.
The lab also develops generative and predictive AI for non-imaging clinical data, including electronic medical records and genetic sequencing data. This includes biologically informed statistical methods, uncertainty estimation, causality-aware modeling, and predictive systems for patient outcomes and discovery of disease subtypes. The advertised role sits within the Department of Pathology & Laboratory Medicine in the School of Medicine at UC Irvine.
The research environment emphasizes publication in leading biomedical journals and machine learning venues, collaboration with industry partners and funding agencies, and training in fellowship writing, teaching, mentoring, presentations, and manuscript review. The lab’s work spans medical imaging, pathology, MRI, CT, RGB data, EMR analysis, and genomic data, offering a broad computational medicine setting for a postdoctoral researcher interested in translational AI.
Funding details
Salary range $66,737-$80,034; effective 10/1/26 salary range $71,491-$85,736.
What's required
Applicants must have a PhD or MD, PhD in computer science, biomedical informatics, engineering, statistics, or a related field at the time of application or be working towards the PhD. Strong academic preparation is expected, with preferred experience in medical imaging, time-series clinical EMR data, genetic sequencing data, deep learning libraries, probabilistic models, Bayesian methods, reinforcement learning, uncertainty quantification, programming in Python, MATLAB, C++, or Java, collaborative software development with Git/GitHub, and a record of first-author publications in peer-reviewed journals or top machine learning conferences.
How to apply
Apply through the UC Irvine recruitment portal using the provided application link. Upload a current CV and a cover letter describing your motivations and interest in the lab. Provide contact information for three referees.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Prof. at University of California, Irvine
United States
Research Interests
Statistics
Medical Imaging
Clinical Decision Support
Biomedical Engineering
Statistical Inference
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.