Postdoctoral Associate

Updated: about 2 years ago
Location: Cambridge, MASSACHUSETTS
Deadline: The position may have been removed or expired!

Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. We value diversity and strongly encourage applications from individuals from all identities and backgrounds, like yours. If you’re motivated, want to be part of a unique, multicultural, collaborative, and inclusive community, and help shape the future – then take a look at this opportunity.

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POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research, to join the Abudayyeh-Gootenberg Lab and work on a research project to develop tools for cell engineering and apply these tools towards different genetic disease and therapies. The project will involve developing molecular tools for cell sensing and novel approaches for cellular reprogramming, ultimately pursuing the goal for precise and regulatable therapies in vivo. Responsibilities will include molecular cloning, protein design, bacterial assays, mammalian cell culture, directed evolution, and animal work for evaluating tissue delivery; working closely with research technicians, students, and principal investigators; and engaging with the scientific community through collaborations, conference talks, and publications.

The position is ideal for someone interested in making a major impact in the gene editing and cellular engineering fields while working in a fast-paced environment with a creative team.  


Job Requirements
REQUIRED: a Ph.D. in biological sciences, engineering, or related field; experience with mammalian cell culture, DNA assembly and characterization, molecular biology, and animal work; self-motivation; ability to prioritize and perform multiple tasks in a dynamic, multidisciplinary, team-oriented setting; strong analytical, problem-solving, documentation, organizational, and interpersonal skills; desire to be an integral part of a cutting-edge research team; and ability to execute detailed technical protocols meticulously. PREFERRED:  flow cytometry, genetic engineering, and programming skills.  Job #20186

9/21/21



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