MD Anderson Cancer Center

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.

All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.

LEARNING OBJECTIVES

• Analyze next-generation sequencing (NGS) data, including:
• Bulk DNA-seq and RNA-seq
• Single-cell RNA-seq
• 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

ELIGIBILITY REQUIREMENTS

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

ADDITIONAL APPLICATION INFORMATION

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.

Application Deadline: 11/30/2025

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 recognition

Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.

This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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