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The Department of Biostatistics at The University of Texas MD Anderson Cancer Center currently has one postdoctoral fellow position available in the areas of bioinformatics and biostatistics methodology research. The primary emphasis of this position is on research and publication. The fellow will focus on developing novel methods for integrative analysis of spatial multi-omics data, deriving related computational and statistical approaches, producing software for implementation, applying these methods to both simulated and real-world data, and conducting comparative evaluations against existing methodologies. The postdoctoral fellow will work under the supervision of Dr. Ziyi Li on challenging and significant problems in spatial multi-omics analysis, which involve complex computational modeling, data analysis, and visualization.

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

*LEARNING OBJECTIVES*

• Gain expertise in statistical theory and application in cancer genomics and immunotherapy studies, with a focus on spatial multi-omics analysis.

• Develop advanced skills in integrative modeling approaches, including Bayesian hierarchical models and machine learning/AI methods, to analyze spatially resolved multi-omics data.

• Apply computational and statistical methods to real-world datasets from pancreatic and lung cancer patients to identify immune-related biomarkers and cell-cell interaction patterns.

• Strengthen programming proficiency in R and Python, with hands-on experience developing interactive tools using R Shiny for spatial data visualization and exploration.

• Engage in statistical methodology research in areas such as spatial data integration, immune repertoire modeling, and precision oncology.

*ELIGIBILITY REQUIREMENTS*

Applicants must hold a recent PhD (within 0-1 year of graduation) in biostatistics, statistics, bioinformatics, computational biology, or computer science from a reputable university or institute. A minimum of one first-author publication in a peer-reviewed journal, stemming from doctoral research, is required. A strong foundation in programming, statistical theory, bioinformatics applications, and the analysis of various high-throughput data modalities is essential. Prior experience with machine learning techniques is considered advantageous.

*ADDITIONAL APPLICATION INFORMATION*

Please send CV and information on three referees directly to [email protected].

The mission of The University of Texas M. D. Anderson Cancer Center is to eliminate cancer in Texas, the

nation, and the world through outstanding programs that integrate patient care, research and prevention, and

through education for undergraduate and graduate students, trainees, professionals, employees and the public.

*POSITION INFORMATION*

MD Anderson offers full-time postdoc positions with a [salary ranging from $64,000 to $76,000](https://trainees.mdanderson.org/apply/mdaPostdoctoralFellowStipendFY24.pdf). depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent [benefits](https://www.utsystem.edu/offices/employee-benefits/insurance-0/eligibility), including medical, dental, [paid time off](https://www.mdanderson.org/about-md-anderson/employee-resources/leave.html), [retirement](https://www.utsystem.edu/offices/employee-benefits/ut-retirement-program/voluntary-retirement-programs), 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](http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html)