Join Our Lab
Available Positions (Wet lab/Dry lab)
Graduate Research Assistantships for Ph.D. Students (with/without seeking dissertation mentorship)
- Location: Houston local, other United States institutions
- Fields: Statistics, computer science, engineering, computational biology, quantitative science
- Fields: Epigenomics wet lab-based and pro in CUT&RUN/CUT&Tag/ATAC-seq/single-cell/spatial chromatin biology assays. Cancer background can be a plus.
Research Internships for Ph.D. Students
- Location: On-site
- Fields: statistics, computer science, engineering, computational biology, quantitative science
- Fields: Epigenomics wet lab-based and pro in CUT&RUN/CUT&Tag/ATAC-seq/single-cell/spatial chromatin biology assays. Cancer background can be a plus.
- Requirement: Need to have at least one first, co-first, corresponding, or co-corresponding publication or preprint.
Postdoctoral Fellows
- Location: On-site
- Candidates with backgrounds in statistics, computer science, engineering, or bioinformatics research experience are preferred. We are especially looking for candidates with experience in developing new computational or statistical models, algorithms, and software.
- Epigenomics wet lab-based and pro in CUT&RUN/CUT&Tag/ATAC-seq/single-cell/spatial chromatin biology assays. Cancer background can be a plus.
- Requirement: Must have at least one first, co-first, corresponding or co-corresponding publication or preprint revised for a peer-reviewed journal.
If you’re excited to contribute to cutting-edge research in computational cancer biology, we would love to hear from you!
How to Apply
Please send the following materials to Dr. Zheng via email:
- CV/resume
- Brief cover letter describing your relevant experience and motivations
- GitHub link to repository or materials demonstrating your programming skills
- Related research manuscripts/writing samples (if applicable; required for postdoctoral candidates)
Hiring projects (Updated Oct 2026)
1) AI Pathology Image Annotation and Modeling
Develop AI methods to annotate pathology images and connect tissue morphology with downstream molecular profiling and modeling; a follow-up effort focuses on developing deconvolution and harmonization models that enable accurate cross-patient and cross-organ comparisons of mixed-cell epigenomic profiles
2) Cancer Epigenomic Modeling and Analysis
Chromatin biology profiling and data modeling in meningioma and high-grade glioma
3) 3D Chromatin Organization and Gene Regulation
Study 3D genome organization and long-range regulation using integrative modeling across multiple genomic modalities
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Research Areas
Find out about the four types of research taking place at UT MD Anderson.