Technical Associate I

Location
Massachusetts, United States
Posted
18 Sep 2018
End of advertisement period
18 Nov 2018
Ref
16449
Contract Type
Permanent
Hours
Full Time

Biological Engineering-Synthetic Biology Center (SBC), to join the lab of Professor Ron Weiss as part of an NIH and DARPA-funded team developing DNA- and RNA-based circuitries for precision control of protein expression to guide mammalian cell fate decisions.

Research areas supported include programmable organoids, synthetic-biology-inspired machine learning, development of liver and pancreas organoids for drug screening and therapy, and novel vaccines. Will program robots to work with basic aseptic molecular and cellular biology and mammalian/organoid cell culture techniques; carefully document laboratory work and results; aid in producing and validating large numbers of DNA and RNA cellular reprogramming genetic devices and high throughput organoid screening; prepare biweekly progress reports with detailed analysis of experimental results, issues, updates, and future plans; and maintain confidentiality and security of project information.  Support of laboratory work includes automated processes for molecular cloning, mammalian/organoid cell culture, transfection, immunofluorescent staining, flow cytometry, microscopic image acquisition, and data preparation.

Job Requirements

REQUIRED: bachelor’s degree (master’s preferred) in biology, bioengineering, biochemistry, computer science (with biology minor), or other relevant scientific field; at least two years’ laboratory technician experience and at least one programming in a biological engineering setting; experience programming automation equipment in Python and Vendor languages and supporting data analysis teams processing high-throughput assay results, e.g., from imaging or flow cytometry; experience with basic aseptic molecular and cellular biology, mammalian cell culture, and chemistry/biology lab techniques; excellent organizational/planning, interpersonal, and written and verbal communication skills; self-motivation; detail-orientation; and ability to work independently and as part of a team, follow complex instructions, plan and troubleshoot experiments, multitask, and carefully document work in a fast-paced and dynamic research environment.

Some night and weekend work may be required. 

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.