Postdoctoral Fellow - Biostatistics
- Requisition #: 600567-202604291238
- Department: Biostatistics
- Location: Houston, TX
- Posted Date: 4/22/2026
The Department of Biostatistics at The University of Texas MD Anderson Cancer Center invites applications for a postdoctoral fellowship in bioinformatics, computational biology, and biostatistics. This position is designed for candidates interested in pursuing methodological research in spatial omics data science while also contributing to collaborative translational projects. The fellow will develop novel statistical and computational methods for integrative spatial omics data analysis, derive and implement related computational models, and create software tools for reproducible analysis. In addition, the fellow will participate in collaborative studies with Dr. Vincent Bernard Pagan's group and other clinical and biological investigators, analyzing spatial omics data generated from clinical trials and related translational research at MD Anderson. The postdoctoral fellow will be supervised by Dr. Ziyi Li and Dr. Vincent Bernard Pagan and will have the opportunity to contribute to high-impact interdisciplinary projects at the interface of computational methodology, cancer biology, and clinical research.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
The postdoctoral trainee will develop advanced expertise in statistical and computational methods for integrative spatial omics data analysis, including high-dimensional modeling, feature extraction, multimodal data integration, and spatially informed machine learning. The training will emphasize the development of novel bioinformatics and computational methodologies, including model derivation, algorithm development, software implementation, and reproducible research practices. The trainee will strengthen programming and computational skills for large-scale biological data analysis, gaining extensive experience in R, Python, C++, and related computational platforms. In addition, the trainee will gain hands-on experience analyzing spatial omics data generated from clinical trials and translational studies, working closely with physicians and biologists to interpret results and generate clinically meaningful insights. Through this process, the trainee will enhance their ability to design, evaluate, and apply innovative statistical and machine learning approaches to complex biomedical problems, while building a strong foundation for independent methodology research, interdisciplinary collaboration, and high-impact scientific publication in biostatistics, bioinformatics, and precision medicine.
ELIGIBILITY REQUIREMENTS
Applicants must have a recent PhD in bioinformatics/biostatistics/computational biology from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication in a peer reviewed journal stemming from PhD studies is required. A solid background in spatial omics, single cell data analysis, and computation is required. Some experience with machine learning and AI is desirable.
Please send CV and information on three referees directly to zli16@mdanderson.org.
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
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
The postdoctoral trainee will develop advanced expertise in statistical and computational methods for integrative spatial omics data analysis, including high-dimensional modeling, feature extraction, multimodal data integration, and spatially informed machine learning. The training will emphasize the development of novel bioinformatics and computational methodologies, including model derivation, algorithm development, software implementation, and reproducible research practices. The trainee will strengthen programming and computational skills for large-scale biological data analysis, gaining extensive experience in R, Python, C++, and related computational platforms. In addition, the trainee will gain hands-on experience analyzing spatial omics data generated from clinical trials and translational studies, working closely with physicians and biologists to interpret results and generate clinically meaningful insights. Through this process, the trainee will enhance their ability to design, evaluate, and apply innovative statistical and machine learning approaches to complex biomedical problems, while building a strong foundation for independent methodology research, interdisciplinary collaboration, and high-impact scientific publication in biostatistics, bioinformatics, and precision medicine.
ELIGIBILITY REQUIREMENTS
Applicants must have a recent PhD in bioinformatics/biostatistics/computational biology from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication in a peer reviewed journal stemming from PhD studies is required. A solid background in spatial omics, single cell data analysis, and computation is required. Some experience with machine learning and AI is desirable.
Please send CV and information on three referees directly to zli16@mdanderson.org.
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
