University of Texas MD Anderson Cancer Center
Postdoctoral Fellow - Statistics in Multi-omics and Cancer
University of Texas MD Anderson Cancer Center, Houston, Texas, United States, 77246
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 single-cell/bulk-cell multi-omics data, spatial omics data, and image data to reveal cancer-specific mechanisms underlying differential treatment efficacies and toxicities 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. It also provides extensive training in grant writing, focusing 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.
Identify gaps between existing tools and practical needs and leverage modern ML and AI concepts to address these gaps.
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.
Solid training in Statistics/Mathematics, including courses or research in statistical inference, mathematical statistics, and linear regression.
Strong computational skills:
Proficiency in R, Python, and Shell scripting, with experience using high-performance computing environments on Linux servers.
Experience processing and analyzing bulk/single-cell genomic data, spatial omics data, or image data.
Experience developing computational tools such as R packages, Python modules, interactive web pages, and pipelines.
Ability to conduct organized and reproducible research.
Genomics knowledge: Experience working with genetic or genomic data and interpreting biological findings.
Strong communication, writing, and collaboration skills, demonstrated through publications and manuscripts under review.
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/
Please email the following to Dr. Ye Zheng at yzheng8@mdanderson.org:
A cover letter describing past contributions, future research and career development plans, scientific motivation, and interests aligned with the lab.
A curriculum vitae including publications and GitHub links to past projects or software.
Contact information for three references (emails and phone numbers).
Position Information MD Anderson offers full-time postdoc positions with a
salary ranging from $64,000 to $76,000 , depending on experience. The university offers benefits including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and recognition programs.
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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 single-cell/bulk-cell multi-omics data, spatial omics data, and image data to reveal cancer-specific mechanisms underlying differential treatment efficacies and toxicities 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. It also provides extensive training in grant writing, focusing 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.
Identify gaps between existing tools and practical needs and leverage modern ML and AI concepts to address these gaps.
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.
Solid training in Statistics/Mathematics, including courses or research in statistical inference, mathematical statistics, and linear regression.
Strong computational skills:
Proficiency in R, Python, and Shell scripting, with experience using high-performance computing environments on Linux servers.
Experience processing and analyzing bulk/single-cell genomic data, spatial omics data, or image data.
Experience developing computational tools such as R packages, Python modules, interactive web pages, and pipelines.
Ability to conduct organized and reproducible research.
Genomics knowledge: Experience working with genetic or genomic data and interpreting biological findings.
Strong communication, writing, and collaboration skills, demonstrated through publications and manuscripts under review.
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/
Please email the following to Dr. Ye Zheng at yzheng8@mdanderson.org:
A cover letter describing past contributions, future research and career development plans, scientific motivation, and interests aligned with the lab.
A curriculum vitae including publications and GitHub links to past projects or software.
Contact information for three references (emails and phone numbers).
Position Information MD Anderson offers full-time postdoc positions with a
salary ranging from $64,000 to $76,000 , depending on experience. The university offers benefits including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and recognition programs.
#J-18808-Ljbffr