Cambridge, MA, 02238, USA
12 days ago
Technical Associate I, Manalis Lab
Technical Associate I, Manalis Lab + Job Number: 25215 + Functional Area: Research - Scientific + Department: Koch Inst - Integrative Cancer Research + School Area: VP Research + Pay Range Minimum: Not Available + Pay Range Maximum: Not Available + Employment Type: Full-Time + Employment Category: Exempt + Visa Sponsorship Available: No + Schedule: + Pay Grade: No Grade Email a Friend Save Save Apply Now Posting Description TECHNICAL ASSOCIATE I, Koch Institute for Integrative Cancer Research (https://ki.mit.edu/people/clinical-investigators-research-fellows/chris-nabel) (KI) - Manalis Lab (http://manalis-lab.mit.edu/) , to join a team working at the intersection of single-cell measurement technology and immunology/oncology. The project explores the influence of biophysical states of cancer cells on immune cell interactions. Will perform routine data collection using advanced microfluidic sensor instrumentation to enhance understanding and ultimately aid in understanding cell intrinsic mechanisms of resistance to immune therapies; execute precise measurements using specialized in-house instrumentation to compile data on single-cell biophysical profiles; perform routine maintenance, including cleaning and calibrating instrumentation to ensure optimal performance; preparing samples for analysis using techniques like flow cytometry; and conducting basic cell culture tasks under stringent laboratory conditions. Job Requirements REQUIRED: Bachelor’s degree in biological/biomedical, mechanical, or chemical engineering or a related field; a minimum of two years of relevant lab experience, which may include experience gained as an undergraduate; proficiency with standard wet-lab techniques, including pipetting and centrifugation; excellent troubleshooting and communication skills; meticulous attention to detail with sensitive measurements and delicate instrumentation; and ability to perform repetitive tasks, collaborate within a team, and commit to the timely delivery of research results. PREFERRED: Experience with cell culture techniques, familiarity with flow cytometry, and proficiency with data analysis using MATLAB and/or Python. 9/18/2025
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