Scientist, Immunology and Non-viral engineering
MaxCyte, Inc.
Description The Scientist, Immunology & Non-viral engineering will support MaxCyte's mission by developing and executing non-viral engineering workflows for immune cells using the company's electroporation technology. This role combines immunology expertise with hands-on gene editing experience to generate high-quality data that advances internal R&D programs, customer collaborations, and platform innovation. The scientist will work cross-functionally to ensure scientific rigor, operational excellence, and alignment with MaxCyte's non-viral engineering capabilities. Design and execute non-viral gene editing workflows using CRISPR/Cas systems, RNPs, mRNA, and DNA templates in primary cells and cell lines. Engineer primary human immune cells (T cells, NK cells, macrophages) and assess editing efficiency, viability, and functional outcomes. Perform activation, proliferation, cytokine profiling, cytotoxicity, and phenotyping assays to characterize engineered cells. Analyze flow cytometry, NGS, and molecular assay data; prepare clear summaries for internal teams and external partners. Apply deep understanding of MaxCyte's non-viral delivery technology to optimize workflows and troubleshoot experiments. Design, perform, and troubleshoot laboratory experiments in accordance with established protocols, quality standards, and regulatory expectations. Analyze and interpret experimental data, prepare technical summaries, and present results to internal and external stakeholders. Collaborate with project management teams to ensure alignment and timely delivery of materials. Provide scientific support to customer-facing teams, including remote and onsite troubleshooting with Field Application Scientists. Evaluate and implement new technologies, automation tools, and high-throughput approaches to increase efficiency and scalability. Contribute to internal innovation initiatives, including development of new products, platform enhancements, and scientific capability expansion. Maintain accurate, complete, and compliant laboratory records. Ensure adherence to organizational, regulatory, and safety standards. Description The Scientist, Immunology & Non-viral engineering will support MaxCyte's mission by developing and executing non-viral engineering workflows for immune cells using the company's electroporation technology. This role combines immunology expertise with hands-on gene editing experience to generate high-quality data that advances internal R&D programs, customer collaborations, and platform innovation. The scientist will work cross-functionally to ensure scientific rigor, operational excellence, and alignment with MaxCyte's non-viral engineering capabilities. Design and execute non-viral gene editing workflows using CRISPR/Cas systems, RNPs, mRNA, and DNA templates in primary cells and cell lines. Engineer primary human immune cells (T cells, NK cells, macrophages) and assess editing efficiency, viability, and functional outcomes. Perform activation, proliferation, cytokine profiling, cytotoxicity, and phenotyping assays to characterize engineered cells. Analyze flow cytometry, NGS, and molecular assay data; prepare clear summaries for internal teams and external partners. Apply deep understanding of MaxCyte's non-viral delivery technology to optimize workflows and troubleshoot experiments. Design, perform, and troubleshoot laboratory experiments in accordance with established protocols, quality standards, and regulatory expectations. Analyze and interpret experimental data, prepare technical summaries, and present results to internal and external stakeholders. Collaborate with project management teams to ensure alignment and timely delivery of materials. Provide scientific support to customer-facing teams, including remote and onsite troubleshooting with Field Application Scientists. Evaluate and implement new technologies, automation tools, and high-throughput approaches to increase efficiency and scalability. Contribute to internal innovation initiatives, including development of new products, platform enhancements, and scientific capability expansion. Maintain accurate, complete, and compliant laboratory records. Ensure adherence to organizational, regulatory, and safety standards. Requirements PhD in Immunology, Molecular Biology, Cell Biology, or related field with 2-3+ years or Master's degree with 5+ years of with hands-on experience with non-viral gene editing, including CRISPR/Cas RNPs, mRNA, or DNA template delivery. Strong background in immune cell biology, including isolation, activation. Proficiency in flow cytometry, multi-color panel design, and immune phenotyping. Hands-on experience with electroporation-based delivery or non-viral delivery of gene editing reagents. Hands-on experience with high-throughput screening, automation, or advanced analytical tools. Ability to work effectively in a structured, fast-paced, milestone-driven industry or core laboratory environment. Hands-on experience with cell therapy development, including CAR-T, TCR, NK, DC or macrophage engineering. Familiarity with base editing, prime editing, or emerging non-viral modalities. Good communication skills and ability to work collaboratively with internal team members and customers. MaxCyte offers a base salary, annual bonus, and equity. MaxCyte also offers a comprehensive benefits package including health, dental, vision, life, and disability insurance and generous time off. MaxCyte is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status #J-18808-Ljbffr MaxCyte, Inc.
- MaxCyte, Inc is seeking a Scientist in Immunology & Non-viral Engineering to develop non-viral gene editing workflows in primary and immune cells using CRISPR/Cas, RNPs, mRNA, and DNA templates. You will engineer T cells, NK cells, and macrophages, assess editing outcomes...Suggested
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