Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren't found together anywhere else. If you're curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.
TECHNICAL ASSOCIATE I, Institute for Medical Engineering and Science, to join the Shalek Lab (MIT, Broad Institute and Ragon Institute) which specializes in leveraging novel single-cell genomic approaches to understand the behaviors of complex biological systems. The position will focus on infectious disease, specifically Lyme, West Nile, and Influenza. Research questions also extend to cancer and autoimmunity. Will work under the direct supervision of Professor Alex Shalek within a community of graduate students and postdoctoral fellows and learn how to implement Seq-Well, a newly developed technique to generate single cell RNA-sequencing libraries on clinical samples; manage the receipt of clinical samples and interface with collaborators; learn how to process and handle various tissues to be profiled with Seq-Well, including blood and synovial fluids; learn and perform next generation sequencing (NGS), analyze generated data in R, and communicate results to the lab and larger community; and become proficient in the basic immunology of the infectious diseases being studied through reading papers, discussions within the lab, and attending talks/seminars.
The position offers an opportunity to gain fundamental skills in an interdisciplinary and technologically-driven environment, be exposed to a range of immunological research, and gain access to the intellectual resources present across all three institutes.
Job Requirements REQUIRED: bachelor's degree, preferably with course work in biology, chemistry, and/or genomics; at least two years of bench experience which may include undergraduate work; strong time management and communication skills; demonstrated problem solving skills; and the ability to balance multiple projects, learn quickly, and work independently and as part of a team. Knowledge of R (and/or other programming languages) is desirable. Job #14987
This is a one year position with the possibility of renewal contingent upon grant funding.
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