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Computational Biology, Bioinformatics, Statistics…
- MD Anderson Cancer Center (Houston, TX)
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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.
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.
We are seeking a highly motivated and dedicated postdoctoral researcher to join our dynamic, hybrid, and highly collaborative lab. This computational genomics postdoctoral fellow candidate is expected to leverage the single-cell/bulk-cell multi-omics data, spatial omics data, and image 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, clinically important and methodologically challenging problems by innovating cutting-edge statistical models, transitional and modern computational methods including ML, AI and LLM. 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
Learn how to build statistical models and construct computational tools to handle large-scale multimodal genomics data in cancer studies. The candidate is also expected to learn how to find the gap between existing tools and practical needs and how to leverage modern ML and AI concepts to fill the gap.
ELIGIBILITY REQUIREMENTS
Candidates with a Ph.D. in Statistics, Computer Science, Biology, Genomics, Genetics, 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 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.
• 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. Genomics knowledge:
Have experience working on genetic or genomic data. Can interpret the biological findings.
4. Strong communication, writing, and collaboration ability. Publication(s) and manuscript(s) under review are required to demonstrate academic writing ability.
ADDITIONAL APPLICATION INFORMATION
Faculty Profile Website: https://faculty.mdanderson.org/profiles/ye\_zheng.html
Research Group Website: https://compbiowizard.github.io./
Potential Project Description: https://compbiowizard.github.io/openpositions/
In addition to submitting the application, please email the following to Dr. Ye Zheng at [email protected].
(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
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000 (https://trainees.mdanderson.org/apply/mdaPostdoctoralFellowStipendFY24.pdf) . depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits (https://www.utsystem.edu/offices/employee-benefits/insurance-0/eligibility) , including medical, dental, paid time off (https://www.mdanderson.org/about-md-anderson/employee-resources/leave.html) , retirement (https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs) , tuition benefits, educational opportunities, and individual and team recognition12/31/2025
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