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MD Anderson Cancer Center — Department of Lymphoma/Myeloma in Houston invites applications for a Computational Biology Postdoc. The position focuses on spatial transcriptomics and digital pathology to study B-cell lymphomas and responses to therapies.
The lab emphasizes mentorship and career development within a translational, high-volume clinical research environment, with access to NIH/NCI-supported resources and a multidisciplinary team.
Title: Computational Biology Postdoc The laboratory of Dr. Michael Green at the University of Texas MD Anderson Cancer Center (https://www.mdanderson.org/research/departments-labs-institutes/labs/green-laboratory.html) is seeking qualified and motivated candidates for open Postdoctoral Fellow positions focused on spatial transcriptomics and digital pathology. Applications of these technologies are centered on understanding disease biology and therapeutic response/resistance mechanisms in B-cell lymphomas, with a focus on cutting-edge therapies such as bispecific antibodies, CAR T-cells and cereblon modulators. The candidates will be part of a multidisciplinary lab that includes both wet-lab, dry-lab and hybrid personnel, and take advantage of resources linked with high patient volumes and an engaged group of clinical faculty.
The Green lab is part of the Department of Lymphoma & Myeloma and the Department of Hematopoietic Biology and Malignancy, which offer a highly translational research environment. The lab is well funded through the NIH/NCI, research consortia and other funding mechanisms, and is highly productive (https://www.ncbi.nlm.nih.gov/myncbi/michael.green.1/bibliography/public/). Dr. Green places strong emphasis on trainee mentorship and career development. The University of Texas MD Anderson Cancer Center is the nation’s #1 ranked cancer center, located within the Texas Medical Center – home to 21 hospitals and 8 academic and research institutes. Houston is a large and vibrant city with an affordable cost of living, two major airports, professional sports teams, and cultural activities.
Applicants should have graduated with their PhD no earlier than 2025. Experience in computational biology and single cell analysis is required and prior experience with spatial transcriptomics is preferred.