Our new Center for Generative Immunotherapy (CGI), a collaborative and multidisciplinary translational tumor immunology group tasked with preclinical research and clinical trials in personalized antigen-directed immunotherapy, is seeking to hire a Head of Experimental Sciences who will be tasked with supervising and performing experimental translational research. The successful applicant will be highly skilled in tumor and immune cell enrichment and culture, cytometry, preparation of samples for immunopeptidomics, library preparation for DNA and RNA sequencing, advanced functional analysis of T cells including T cell engineering using Crispr methods, tumor antigen-specific T cell receptor repertoire profiling, and analysis of mechanisms of resistance to antigen-specific T cell cytotoxicity. They will lead a team analyzing human tumor and immune cell samples from biobanks and real-time in the context of personalized antigen-directed immunotherapy clinical trials. The successful applicant will be able to conceive, plan, and execute experiments independently, as well as to analyze data and lead a team in executing research goals in collaboration with program directors and other lab members. Beyond cytometry and functional T cell studies, experimental work will include single cell transcriptomic and T cell receptor analyses using human cell lines, primary tumor samples, and primary peripheral blood samples, cell enrichment and organoid preparation, generation of T cell receptor engineered T cell (TCR-T) products, and evaluation of TCR-T performance characteristics using primary tumor cells and organoids. They will be responsible for generating experimental SOPs, progress tracking, and training of experimental staff. There will be substantial interaction with lab members working in bioinformatics and computational biology as well as opportunity for training in these areas if the applicant desires. As part of this work, they will be expected to lead and contribute to academic products including presentations, manuscripts, and patents deriving from their experimental results. If desired, the applicant will have the opportunity to be the lead author on presentations, manuscripts, and grants derived from their work. They will also be responsible for data reporting according to sponsor requests and assisting computational staff with data management and data sharing.
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Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree