- Expiry Date: 12 December 2021
Lead critical efforts to maintain tumor cell lines for the use within cell-based immunoassays
Execute experiments for the in-depth characterization of gene-engineered & edited T cells using flow cytometry, cell-based functional immunoassays, quantification of secreted cytokines by Meso Scale Discovery Analysis (MSD), and PCR analysis
Perform data analysis of critical sample data generated from characterization assays. Perform simple statistical data analysis where applicable
Timely and thorough documentation and completion of electronic laboratory notebooks
Presentation of experimental findings/results following study completion
Collaborate with other members of the Product Sciences Team and other cross-functional teams for the identification and prioritization of novel analytical approaches for interrogating gene-engineered and edited T cell function.
B.S. in Cell/Molecular Biology, Immunology, Biomedical Engineering, or related discipline with 0-3 years of relevant experience or M.S. with 0-1 year of relevant experience is required
Ability to work under moderate technical supervision and perform operational tasks independently is required
Experience with in vitro cell culture systems (i.e., maintaining cell lines and/or primary cells in culture, comfortable with sterility techniques)
Experience with human T cell biology and analytical tools for interrogating T cell phenotype and function, such as multi-parameter flow cytometry and/or in vitro cellular immunoassays etc.
Proven ability to work in a high paced team environment, meet deadlines, & prioritize work on multiple projects
Detail orientation, excellent interpersonal, written, and verbal communication skills, and ability to present results at team and cross-functional team meetings
Experience with different standard and next generation analytical platforms for the characterization of T cell phenotype, differentiation, and function (i.e. cytotoxicity, cytokine production, and/or proliferation assays, single cell analysis, etc,).
Experience with data visualization software and/or coding-based data analysis (i.e., Prism, JMP, R or Python)
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