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The University of Texas MD Anderson Cancer Center – Postdoctoral Fellow in Cancer Computational Biology
Company Information: A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center.
Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes.
Position Title: Postdoctoral Fellow in Cancer Computational Biology
Duties and Responsibilities: We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling expertise in machine learning and/or Bayesian models is preferred.
Position Qualifications: The ideal candidate should have a Ph.D. in bioinformatics, statistics, biostatistics, computer science or a related field. Extensive experience with R and Python, and prior experience in computational biology are required. The candidate must have excellent written and verbal communication skills, the ability to engage in independent thinking, be meticulous in their attitude towards work, and be collegial as a team member. The candidate must demonstrate scholarship through at least two published first-author manuscripts.
Salary Range: $70,000 to $76,000
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.
Website: https://odin.mdacc.tmc.edu/~wwang7
Application Information: To apply, please email (1) a cover letter describing current and future research, (2) a curriculum vitae, and (3) a list of three references to Dr. Wenyi Wang at wwang7@mdanderson.org.
Contact Email: wwang7@mdanderson.org
Application Deadline: 07/31/2025
Company NameThe University of Texas MD Anderson Cancer Center
Company Information
A full-time postdoctoral fellow position is available in Professor Wenyi Wang's lab at the Department of Bioinformatics and Computational Biology, the University of Texas MD Anderson Cancer Center.
Dr. Wang's laboratory conducts cutting-edge research to understand the evolution of cancer transcriptomes through DNA-RNA dynamics, aiming to uncover mechanisms of cancer initiation, progression, and therapeutic response. This research is fundamental to advancing our knowledge of cancer and improving patient outcomes.
Position TitlePostdoctoral Fellow in Cancer Computational Biology
Duties and Responsibilities
We are seeking a highly self-motivated postdoctoral candidate with experience in cancer research and strong analytical skills in single-cell RNA-seq data. Statistical modeling expertise in machine learning and/or Bayesian models is preferred.
Position Qualifications
The ideal candidate should have a Ph.D. in bioinformatics, statistics, biostatistics, computer science or a related field. Extensive experience with R and Python, and prior experience in computational biology are required. The candidate must have excellent written and verbal communication skills, the ability to engage in independent thinking, be meticulous in their attitude towards work, and be collegial as a team member. The candidate must demonstrate scholarship through at least two published first-author manuscripts.
Salary Range$70,000 to $76,000
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 Websitetmc.edu
Application Instructions
To apply, please email (1) a cover letter describing current and future research, (2) a curriculum vitae, and (3) a list of three references to Dr. Wenyi Wang at wwang7@mdanderson.org.