The laboratory of Dr. Michael Green is focused on understanding the molecular etiology of B-cell lymphoma, and aims to use this knowledge to identify novel therapeutic strategies. Our laboratory employs high-throughput genomics to interrogate primary tumor specimens and transgenic mouse models; including whole-genome/exome sequencing, RNA-seq, ChIP-seq, CUT&RUN and ATAC-seq, as well as cutting-edge single cell approaches. This position will focus on the integration and analysis of single cell RNA-sequencing and spatial transcriptomics datasets from lymphoma patient's, as a progression and expansion of our recent work.

LEARNING OBJECTIVES
Trainee will participate in developing and evaluating novel adoptive T-cell therapy strategies including CAR-T and TCR-T, and viral- and tumor antigen-specific T cells in both in vitro and in vivo models.

Trainee will work in a high-performance computing cluster environment.

Trainee will work with single cell RNA/ATAC, ChIP-seq, ATAC-seq, and Hi-C.

ELIGIBILITY REQUIREMENTS
Individuals with a PhD degree in computational biology, bioinformatics, genomics, genome science or a related field are encouraged to apply. A strong computational background, proficiency in at least one programming language (e.g., R, Python, Perl, C++, Java) and knowledge of biostatistics are required.

ADDITIONAL APPLICATION INFORMATION
n/a

POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000. depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition02/28/2025 Apply