We are seeking enthusiastic scientists to work in the Biosciences Division of SRI International. Candidates will bring contemporary approaches in T-cell immunology, such as genetically engineering primary T cells with chimeric antigen receptor (CAR T cells), immunological assays, and be motivated to contribute intellectually in a dynamic team environment.
We have recently developed an artificial cell-signaling pathway that transforms the T cell into a vector for synthesizing calibrated amounts of engineered proteins in vivo (i.e. T-cell Biofactory). The modularity of this pathway enables reprogramming of the T-cell Biofactory to target biomarkers on different disease cells, e.g. cancer, viral infections, autoimmune disorders. The T-cell Biofactory may lead to a “living drug” that will extravasate to the disease sites, assess the disease burden, synthesize calibrated amount of engineered therapeutic proteins upon stimulation by the diseased cells, and reduce targeting of normal cells.
Successful candidates will reprogram primary T cells into T-cell Biofactories for targeting viral infections and solid tumors; and quantify their therapeutic responses when stimulated by the target cells. Candidates will choose among different target diseases including dengue, chikungunya, HIV, ovarian cancer, pancreatic cancer etc. Experience in in vivo viral infection or cancer models will be a plus. Candidates will write scientific publications and have the opportunity participate in the preparation of grant applications.
Note: Full benefits and relocation assistance will be provided.
PhD in immunology, virology, cancer biology or related field is required. Candidates are expected to have excellent communication, writing, organizational skills; and be motivated to contribute intellectually in a dynamic team environment. Candidates will be independent self-starter with experience and knowledge of contemporary approaches in immunology. Additionally, they will have the ability to design and execute laboratory experiments, critically interpret experimental results, and to present the data in a clear and concise manner.
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