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  • Postdoctoral Fellow - Hematopoietic Biology…

    MD Anderson Cancer Center (Houston, TX)



    Apply Now

    The Shengqing (Stan) Gu lab at MD Anderson Cancer Center seeks a highly motivated Postdoctoral Fellow with a strong biomedical research background to join our team.

     

    Our laboratory focuses on understanding how dysregulation of cell-cell interactions shape tumor development and drive immune evasion - a key process underlying cancer progression and therapy resistance. Ongoing projects include: (1) Modulating cancer antigen presentation to potentiate immunotherapy; (2) Mapping the evolutionary trajectories of immune evasion in cancer development. To address these questions, we integrate various cutting-edge experimental and computational approaches in the areas of functional genomics, single cell/spatial multi-omics, cell biology, biochemistry, data mining, machine learning, and mathematical modeling, among others. This position offers an exceptional opportunity to conduct interdisciplinary research at the intersection of cancer biology, immunology, and computational biology within a highly collaborative environment. More research details can be found at: https://www.mdanderson.org/research/departments-labs-institutes/labs/gu-laboratory.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 incoming fellow will receive training and conduct research at the broad intersection of cancer immunology and computational biology, which will help build a strong portfolio for their future career development. The fellow will work closely with local experimental and/or computational collaborators in seeking to enhance the efficacy of cancer immunotherapy, such as by modulating cancer antigen presentation. The fellow will also benefit from collaborations with former colleagues of Dr. Gu at many institutes.

     

    *ELIGIBILITY REQUIREMENTS*

     

    Highly motivated individuals who have obtained or are about to obtain a PhD in Biology, Bioinformatics, Computer Science, or related areas are encouraged to apply. Proven track record of publications, excellent written and oral communication skills are required.

     

    *ADDITIONAL APPLICATION INFORMATION*

     

    Dr. Gu is strongly committed to the professional fulfillment and career advancement of all trainees. He will work on creating a successful transition plan to academia or industry for the fellow in accordance with their evolving preferences. The fellow will have access to the rich research platforms at MD Anderson and more broadly the Texas Medical Center, including computation cluster, single-cell core facility, epigenetics core facility, flow cytometry facilities, drug screening core, animal colony, among many others. The stipend will follow the NIH guideline: https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-076.html

     

    Dr. Gu graduated from University of Toronto with a PhD in Medical Biophysics, did postdoctoral training at Harvard Medical School and Dana-Farber Cancer Institute, and joined MD Anderson Cancer Center as Assistant Professor in November 2022. He has excellent track record in highly collaborative and interdisciplinary research in cancer biology, immunology, and computational biology, as demonstrated by recent (co)first and corresponding author papers/preprints:

     

    Cancer immunology: (Jiang, Gu, Pan et al., Nature Medicine, 2018; Gu, Wang, Hu et al., Genome Biology, 2020; Shi, Gu et al., Clinical Cancer Research, 2020; Gu, Zhang, Wang, Jiang et al., Cancer Discovery, 2021; Wang, Tokheim, Gu, Wang et al., Cell, 2021; Zeng, Gu et al., Cancer Immunology Research, 2022)

     

    Computational biology: (Gu et al., PNAS, 2021; Zeng, Gu et al., Science Advances, 2022; Chen et al., biorxiv, 2025)

     

    Leukemia biology: (Gu, Chan, Mohi et al., Blood, 2016; Gu et al., Leukemia, 2018)

     

    *POSITION INFORMATION*

    Postdoc Fellow

    MD Anderson follows the NIH stipend levels as outlined by the [Kirchstein - NRSA](https://grants.nih.gov/grants/guide/notice-files/NOT-OD-23-076.html). This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience.

    MD Anderson offers compensated trainees:

    - Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week

     

    - Group Dental, Vision, Life, AD&D and Disability coverage

     

    - Paid Education Vacation and Sick Leave

     

    - Paid institutional holidays, wellness leave, childcare leave and other paid leave programs

     

    - Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans

     

    - Employer paid life, AD&D and an illness-related reduced salary pay program

     

    - Health Savings Account and Dependent Care Reimbursement flexible spending accounts

     

    - Fertility benefits

     

    - State of Texas longevity pay

     

    - Extensive wellness, fitness, employee health programs and employee resource groups

     

    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)

     


    Apply Now



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