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. See further information at the lab webpage: https://odin.mdacc.tmc.edu/~wwang7
Position Title: Postdoctoral Fellow in Cancer Computational Biology
Duties and Responsibilities: • Analyze next-generation sequencing (NGS) data, including:
o Bulk DNA-seq and RNA-seq
o Single-cell RNA-seq
o Spatial transcriptomics
• Develop computational and statistical methods for multi-omic and single-cell data
• Integrate diverse molecular data to study tumor evolution and therapeutic response
• Collaborate with MD Anderson clinicians and basic scientists
• Investigate mechanisms of tumor heterogeneity and resistance
• Mentor graduate and undergraduate students and rotation trainees
• Present research at scientific conferences and contribute to peer-reviewed publications
Position Qualifications: Required Qualification:
• Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field
• Proficiency in R or Python
• Minimum one year of experience in computational biology or cancer genomics
• Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP)
• At least one first-author peer-reviewed publication
• Strong communication and scientific writing skills
Preferred qualifications:
• Hands-on experience with single-cell and spatial transcriptomic analysis
• Familiarity with multi-omic data integration workflows
• Cancer biology background or translational research experience
• Knowledge of machine learning, Bayesian modeling, or statistical method development
Ideal Personal Attributes:
• Independent, proactive, and scientifically curious
• Detail-oriented and committed to reproducible research
• Strong team player with mentoring and collaborative experience
• Critical thinker with strong problem-solving abilities
Salary Range: $70,000 to $76,000, depending on 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.
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. See further information at the lab webpage: https://odin.mdacc.tmc.edu/~wwang7
Position TitlePostdoctoral Fellow in Cancer Computational Biology
Duties and Responsibilities
• Analyze next-generation sequencing (NGS) data, including:
o Bulk DNA-seq and RNA-seq
o Single-cell RNA-seq
o Spatial transcriptomics
• Develop computational and statistical methods for multi-omic and single-cell data
• Integrate diverse molecular data to study tumor evolution and therapeutic response
• Collaborate with MD Anderson clinicians and basic scientists
• Investigate mechanisms of tumor heterogeneity and resistance
• Mentor graduate and undergraduate students and rotation trainees
• Present research at scientific conferences and contribute to peer-reviewed publications
Position Qualifications
Required Qualification:
• Ph.D. in bioinformatics, computational biology, statistics, computer science, or related field
• Proficiency in R or Python
• Minimum one year of experience in computational biology or cancer genomics
• Experience with high-performance or cloud computing (e.g., HPC, AWS, GCP)
• At least one first-author peer-reviewed publication
• Strong communication and scientific writing skills
Preferred qualifications:
• Hands-on experience with single-cell and spatial transcriptomic analysis
• Familiarity with multi-omic data integration workflows
• Cancer biology background or translational research experience
• Knowledge of machine learning, Bayesian modeling, or statistical method development
Ideal Personal Attributes:
• Independent, proactive, and scientifically curious
• Detail-oriented and committed to reproducible research
• Strong team player with mentoring and collaborative experience
• Critical thinker with strong problem-solving abilities
Salary Range$70,000 to $76,000, depending on 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 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.