Postdoctoral Fellow - Bioinformatics & Computational Biology

A full-time postdoctoral fellow position is available in Dr. Ye Zheng's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center. We are seeking a highly motivated and dedicated postdoctoral researcher to join our dynamic, hybrid, and highly collaborative lab. This computational postdoctoral fellow candidate is expected to leverage single-cell/bulk-cell multi-omics, spatial omics, and pathological imaging data to reveal the cancer-specific mechanisms underlying the differential efficacies and toxicities of treatments across patients.

This position offers an exciting opportunity to contribute to pioneering biological, clinically important and methodologically challenging problems by innovating cutting-edge statistical models, computational methods and AI agent skills. This position provides extensive training in grant writing, with a focus on prestigious early career development grants such as the K99 and Damon Runyon awards.

Dr. Zheng's lab works on problems at the interface of statistical, computational and biomedical sciences. The lab has developed methods to decipher gene cis-regulatory mechanisms from transcriptomics, epigenomics, proteomics and three-dimensional (3D) chromatin interaction perspectives.

All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

• develop rigorous and reproducible statistical and machine learning methods for integrating multi-modality cancer datasets, with strong benchmarking and uncertainty awareness, and deliver these methods as well documented computational tools;
• build AI pathology models that convert tissue morphology into quantitative features to support downstream molecular interpretation, including deconvolution and harmonization approaches for robust comparison across patients, cohorts, and tissue types;
• create agentic AI workflows that automate analysis from data ingestion and quality control to interpretation and report generation, with emphasis on transparency, auditability, and scalability on high performance computing systems;
• conduct integrative modeling of 3D genome organization and cross platform cell surface protein measurements to improve gene regulation insight and cell type and state characterization;
• develop professional skills through structured mentorship in manuscript writing, scientific communication, and career development applications, including K99 R00 and Damon Runyon.

Candidates with a Ph.D. in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, Engineering, Data Science, or a related field are encouraged to apply.

• Solid training in statistics and mathematics: Past course or research training in statistics, including but not limited to mathematical statistics, statistical inference, and linear regression.
• Strong computational skills: Proficient in developing computational tools and modern AI agent-related workflows;
  Proficient in programming languages R, Python, and Shell; has extensive experience in using high-performance computing environments on Linux servers and knows how to submit batch‑run jobs;
  Experienced in processing and analyzing bulk/single-cell genomic data, spatial omics data, or image data;
  Ability to conduct highly organized and reproducible research.
• Genomics knowledge: Have experience working on genetic or genomic data and can interpret the biological findings.
• Strong communication, writing, and collaboration ability: First, co-first, corresponding, or co‑corresponding publications and reprints under review on computational and/or statistical methodology development are required to demonstrate academic writing ability.

Lab website and potential research project descriptions: (Use the "Apply for this Job" box below)./

To apply , please email the following to Dr. Ye Zheng at yzheng
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• a cover letter describing past contributions to the field, future research plan, career development plan, scientific motivation and interests that align with Dr. Zheng's lab,
• a…