Dr. Zheng's lab works on problems at the interface of statistical, biological 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. We are seeking a highly motivated and dedicated postdoctoral researcher to join our dynamic, hybrid, and highly collaborative lab. This statistical genomics postdoctoral fellow candidate is expected to leverage the single-cell and bulk-cell multi-omics data to reveal the cancer-specific mechanism that underlies the differential efficacies and toxicities of treatment across patients. This position offers an exciting opportunity to contribute to pioneering biological and clinically important and methodologically challenging problems by innovating cutting-edge statistical models and computational methods. 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.

LEARNING OBJECTIVES
Statistical modeling and computational pipeline development:
• Conduct raw sequencing data processing and quality control analysis
• Conduct standard data analysis according to the computational pipeline
• Conduct customized preliminary data analysis in a case-by-case manner
• Develop new statistical models, leverage and customize the modern machine learning algorithm, and construct computational tools or pipelines to better analyze the data for the specific scientific target
• Draft manuscript and contribute to the PI's grant preparation
• Present research work at weekly meetings, domestic or international conferences

Grant and general lab management:
• Prepare grant applications eligible to postdoctoral researchers
• Aids and supports the PI in the research and computational pipeline maintenance and organization efforts
• Train students and new members in research procedures and in the use of computational resources
• Participate and help other lab members with ongoing projects in the lab

ELIGIBILITY REQUIREMENTS
Individuals with a PhD degree in Statistics, Biostatistics, Bioinformatics, Computational Biology, Computer Science, Engineering, Data Science, or a related field are encouraged to apply.

1. Solid training in Statistics:
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 programming languages R, Python, and Shell, has extensive usage of high-performance computing environments how to submit batch run jobs.
• Experienced in processing and analyzing bulk and single-cell genomic data.
• Experienced in developing computational tools, such as R package, Python module, interactive webpage, and computational pipelines.
• Ability to conduct highly organized and reproducible research.

3. Strong communication, writing, and collaboration ability. on Linux servers, and knows

ADDITIONAL APPLICATION INFORMATION
PI website with other potential project descriptions can be found at https://yezhengstat.github.io/. To apply, please email (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, and (3) emails and phone numbers of a list of three references to Dr. Ye Zheng at yzheng8@mdanderson.org.

POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. 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 recognition12/31/2025 Apply