Technical Associate I, Fraenkel Lab

Massachusetts, United States
23 Dec 2020
End of advertisement period
23 Feb 2021
Academic Discipline
Life sciences, Biological Sciences
Contract Type
Full Time

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, Biological Engineering-Fraenkel Lab, to participate in studies examining the role of immune cells in diseases of the central nervous system, including neurodegenerative disorders and cancers. The lab uses omic measurements and computational modeling to reveal the molecular mechanisms behind neurodegenerative diseases and brain tumors to identify novel potential therapeutic strategies and to test these strategies in vitro and in vivo. Will participate in generating and analyzing cell imaging data relevant to these studies. The work will involve assisting with the design and execution of imaging experiments using methods such as CycIF and CODEX and basic computational processing. It will require close teamwork with the lab in-house computational scientists and with external collaborators. Principal responsibilities include collecting imaging data using methods that include CycIF, CODEX, or related technologies; identifying and testing antibodies for these studies; assisting the computational team with analyzing data, developing biological hypothesis, and designing follow-up experiments; conducting follow up experiments based on the proposed hypothesis; and communicating and coordinating the research with collaborators. 

Job Requirements

REQUIRED: a bachelor’s degree in biological or biomedical engineering with a background in molecular neuroscience; at least two years of relevant research experience; proven experience with histological assays such as immunohistochemistry and immunofluorescence in tissue and cell culture; strong organizational, planning skills, and communication skills; and ability to work in coordination and collaboration with multiple research groups.  

PREFERRED:  experience with CycIF and/or CODEX and experience in collaborative work with data scientists and systems biologists. Job #19180

May be required to work nights and weekends. Some domestic travel may also be required.

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