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“Li Lab focuses on developing cutting-edge computational programs to advance the understanding of human immune regulation. The team is a hybrid lab with both computational and experimental components. The bench side conducts animal experiments and generates single cell RNA-sequencing data from human samples. Computational scientists will have the opportunity to work closely with the experimental members to generate new datasets, test hypothesis, identify and solve novel biological problems.”

Graduate Students

We welcome talented and motivated PhD students to do a rotation in our lab. You will learn more about the application of computing in immune regulation of cancer research. We have several projects that would provide a great opportunity to train you in developing cutting-edge computational tools. Please contact Bo at to discuss potential projects.

Postdoc Research Fellows

A postdoc position is available in the laboratory of Bo Li (, Lyda Hill Department of Bioinformatics and Department of Immunology at UT Southwestern Medical Center. Li lab is devoted to developing cutting-edge computational methods for analyzing large cancer genomics data, with a focus on understanding tumor-immune interactions. In the past we have developed a collection of highly innovative and widely used bioinformatics tools to study 1) tumor purity and tumor subclonality (CHAT: Clonal Heterogeneity Analysis Toolkit) (Li et al., 2012, Clinical Cancer Research; Li et al., 2014, Genome Biology); 2) composition of tumor immune infiltrates (TIMER: Tumor IMmune Estimation Resource) (Li et al., 2016, Genome Biology; Li et al., 2017, Cancer Research) and 3) receptor repertoire of tumor-infiltrating T or B cells (TRUST: Tcr/bcr Repertoire Utilities for Solid Tumor) (Li et al., 2016 Nature Genetics; Li et al., 2017, Nature Genetics). To better understand the impact of immune cells in the tumor microenvironment and facilitate the clinical practice of cancer immunotherapies, we will conduct research focusing on the following 3 areas:

  • Develop algorithms to analyze tumor-infiltrating immune repertoire data;

  • Analyze cancer genomics data collected from clinical trials to identify predictive biomarkers of checkpoint blockade immunotherapies;

  • Develop novel methods for studying the interaction between tumor and human microbiota.


Individuals with interest in any of the perspectives are encouraged to apply. Responsibilities of the position will include but not limited to: methodology development, coding, statistical analysis of big biomedical data, writing manuscript, application to postdoctoral fellowship and communication with other researchers. Ideal applicants are expected to have:

  • PhD degree in Bioinformatics/Genetics/Computer Science/Statistics or other quantitative science

  • Solid programming skills, strong publication record and the ability to work independently

  • Background in cancer genomics data analysis and computational methodology development.

  • Additional expertise in immunology or microbiology would be a plus.


Computational postdocs at Li lab will have the opportunity to work closely with the experimental members of the lab to generate new datasets, test hypothesis, identify and solve novel biological problems. Li lab members also have free access to the computing and data storage of the BioHPC super cluster (, with the >6,800-core cluster with >8 Petabyte of storage. Additionally, we work closely with Dr. Yang-Xin Fu at the Department of Pathology, to jointly investigate key problems in tumor immunology and cancer immunotherapies. Our future lab members will have the opportunities to collaborate with Dr. Fu and other top biologists at UT Southwestern to work on a broad range of biological and computational problems.

This opening is an ideal opportunity for recent PhD graduates pursuing a career in medicine and/or biomedical research. Interested candidates should submit a CV, a cover letter of research background and future research goals, and three reference letters by email to Bo Li [].

Visiting Scholars


Researchers in bioinformatics/statistics/immunology or other relevant areas are encouraged to contact us for temporary visits and research in our lab.

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