The University of Texas MD Anderson Cancer Center – Computational/Statistical/AI Genomics Postdoctoral Research Fellow
Company NameThe University of Texas MD Anderson Cancer Center
Position TitleComputational/Statistical/AI Genomics Postdoctoral Research Fellow
Company Information
A full-time computational 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.
Dr. Zheng's lab works on problems at the interface of statistics, computational science and cancer. The lab has developed methods to decipher gene cis-regulatory mechanisms from transcriptomics, epigenomics, proteomics and three-dimensional (3D) chromatin interaction perspectives.
Duties and Responsibilities
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.
Position Qualifications
Candidates with a Ph.D. in Computer Science, Statistics, Biostatistics, Bioinformatics, Computational Biology, Engineering, Data Science, or a related field are encouraged to apply.
1. Solid training in Statistics/Mathematics:
Past course or research training in statistics, including but not limited to mathematical statistics, statistical inference, and linear regression.
2. Strong computational skills:
• Proficient in developing traditional computational tools and modern agent-related workflows.
• Proficient in programming languages R, Python, and Shell, has extensive experience of 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 or spatial omics data or image data.
• Ability to conduct highly organized and reproducible research.
3. Genomics knowledge:
Have experience working on genetic or genomic data. Can interpret the biological findings.
4. Strong communication, writing, and collaboration ability.
5. 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.
Salary Range$64,000 to $76,000, depending on the number of years of experience
Benefits
The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
Position or Company Websitegithub.io.
Application Instructions
Lab website and potential projects can be found at https://compbiowizard.github.io./
To apply, please email the following to Dr. Ye Zheng at yzheng8@mdanderson.org.
(1) 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,
(2) a curriculum vitae that includes publications and GitHub links of past project codes or developed software
(3) emails and phone numbers of a list of three references