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University of Texas MD Anderson Cancer Center

Postdoctoral Fellow - Bioinformatics & Comp Biology

University of Texas MD Anderson Cancer Center, Houston, Texas, United States, 77246

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Overview 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: odin.mdacc.tmc.edu/~wwang7

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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