Job Information
MD Anderson Cancer Center Postdoctoral Fellow - Hematopoietic Biology & Malignancy - Dr. Shengqing (Stan) Gu’s Lab in MDA-On-Site, United States
A Postdoctoral position is available in the Department of Hematopoietic Biology and Malignancy, The University of Texas MD Anderson Cancer Center, Houston, TX, United States. This position reports to Dr. Shengqing (Stan) Gu in the Department of Hematopoietic Biology and Malignancy.
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. We are interested in enhancing the efficacy of cancer therapies, especially immunotherapy, by modulating cell-cell interactions. To achieve this goal, we integrate various cutting-edge experimental and computational approaches in the areas of functional genomics, single cell/spatial multi-omics, data mining, machine learning, and mathematical modeling, among others. More research details can be found at: https://www.mdanderson.org/research/departments-labs-institutes/labs/gu-laboratory.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 first/co-first author papers:
Leukemia biology: (Gu, Chan, Mohi et al., Blood, 2016; Gu et al., Leukemia, 2018)
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)
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.
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 with a Ph.D. in Biology, Bioinformatics, Computer Science, or related areas are encouraged to apply. A proven track record of publications and excellent written and oral communication skills are required. We strive to create and maintain a diverse, equitable, and inclusive environment and strongly encourage individuals from underrepresented groups to apply.
POSITION INFORMATION
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
FACULTY MENTOR
Dr. Shengqing Gu