What are the responsibilities and job description for the Associate Scientist in Cambridge, MA position at Rangam?
Associate Scientist
Pay Rate : $45 -$48 per hour
The candidate must be able to work onsite (100%) 5 days a week at Cambridge Crossing
Must Have List :
Bachelor’s degree in Biology, Molecular / Cell Biology, or a related discipline, with 3-5 years of direct experience managing the day-to-day operations of a cell line collection.
Experience with data & inventory management systems including Benchling, Mosaic, and SharePoint.
Exceptional workload planning, prioritization, organizational, and time management skills with meticulous attention to detail and consistent follow-through.
Strong hands-on experience in mammalian cell culture including expertise in aseptic technique, culture optimization, cell counting, cryopreservation, and validation methods.
Experience in experimental design, data analysis, troubleshooting, and a range of biology skill sets including in vitro cell assay development, plate-based assays, Western blotting, ELISA / MSD, transfections, lentiviral transductions, siRNA / shRNA / CRISPR, qPCR, and viability assays
Associate Scientist
The Mechanism of Cancer Resistance (MoCR) Thematic Research Center (TRC) at Client is seeking a highly motivated Scientist to support Discovery Biology research programs at our facility in Cambridge, MA.
The ideal candidate will contribute to our discovery pipeline from the bench by taking responsibility for developing, optimizing, and troubleshooting cellular assays to characterize and advance novel molecules of interest. In addition, the candidate will be responsible for managing the departmental cell collection.
We are currently seeking a candidate with 3-5 years of practical experience in preclinical laboratory work. The ideal candidate will thrive in a collaborative environment and make meaningful contributions as a valued member of our dynamic drug discovery team.
Key attributes will include strong organizational skills, a proven track record of high productivity, and excellent communication and interpersonal abilities.
Job Qualifications and Requirements
BS / MS degree in Biology, Molecular / Cell Biology, or a related discipline, with 3-5 years of relevant work experience.
Strong hands-on experience in mammalian cell culture including expertise in aseptic technique, culture optimization, cell counting, cryopreservation, and validation methods.
Experience in experimental design, data analysis, troubleshooting, and a range of biology skill sets including in vitro cell assay development, plate-based assays, Western blotting, protein quantification, ELISA, MSD, transfections, lentiviral transductions, siRNA / shRNA / CRISPR, qPCR, and viability assays.
Experience in managing or supporting a cell line collection, including experience with data management using inventory management systems such as Mosaic and Benchling.
Strong proficiency in workload planning, prioritization, organization, time management, meticulous attention to detail, and consistent follow-through.
Excellent communication skills, both verbal and written, with the ability to work effectively both independently and as part of a cross-functional collaborative team.
Experience utilizing electronic notebooks is preferred, and basic proficiency in Microsoft Office is required.
Self-motivated, adaptable, eager to develop new skills, and possesses a positive attitude.
Job Responsibilities include :
Working both independently and collaboratively to support cutting-edge Oncology drug discovery biology programs & the departmental cell collection.
Developing and executing mechanistic in vitro cellular assays to characterize mechanism of action of novel compounds.
Managing the departmental cell collection including inventory management, cell line registration, collection, distribution, and cell line validation.
Maintaining detailed and organized records of protocols and experimental results.
Collaborating cross-functionally with other team members to advance programs.
Analyzing, interpreting, and presenting experimental data in team meetings.
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