Postdoctoral Associate in AI for Brain Tumor Genomics and Single-Cell Multi-Omics Baylor College of Medicine in United States

Baylor College of Medicine is advertising a Postdoctoral Associate in AI for Brain Tumor Genomics in Houston, Texas. The position sits at the intersection of computer science, biomedical engineering, biology, neuroscience, and medical science, with a strong emphasis on AI, single-cell genomics, multi-omic data, and computational biology.

The project aims to develop next-generation AI models, including transformers, VAEs, and foundation models, for large-scale modeling of brain tumors using omics data. Research goals include decoding tumor heterogeneity and tumor microenvironment interactions, identifying targetable genes and pathways, and supporting therapeutic strategy discovery at single-cell resolution.

The post is described as an NIH R01-funded position. No stipend amount, duration, or additional benefits are specified in the post. The opportunity is especially relevant for candidates with a strong machine learning and computational biology background, and experience with omics, single-cell, or cancer genomics data would be highly aligned with the work.

The announcer is Akdes Serin Harmanci, Assistant Professor at Baylor College of Medicine. Interested applicants are directed to contact the announcer or use the application link provided in the post.

Institution: Baylor College of Medicine
Location: Houston, Texas, United States
Application: Apply via the linked job page or reach out to the announcer for more information.