Massachusetts Institute of Technology Technical Associate II in Cambridge, Massachusetts
Technical Associate II
Job Number: 19474
Functional Area: Research - Engineering
Department: Institute for Medical Eng. and Science
School Area: Engineering
Employment Type: Full-Time
Employment Category: Exempt
Visa Sponsorship Available: No
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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 II, Institute for Medical Engineering and Science (IMES)-Laboratory for Computational Physiology (LCP) (https://lcp.mit.edu/) , to join a lab that brings together data scientists and health practitioners to conduct research for improving health care through new and refined approaches to interpreting data. Will expand and support a large open-source archive of physiologic signals and signal processing software; manage the system network, write code to integrate physiological and clinical data from the hospital into PhysioNet for research studies, and initiate and develop research software; collect patient monitoring waveform data and reformat into WFDB public format; collect new imaging data and link them to associated clinical records; assist with managing the laboratory’s networks, including VPN links to the hospital, and develop new signal processing software in collaboration with lab researchers; assist with the development and evolution of new features to improve performance of the PhysioNet platform; advise on developments in technology and recommend lab practice updates; and perform other duties as assigned. Opportunities for writing open source code, participating in research, and carrying out self-driven projects exist.
REQUIRED: B.S./B.A. in biomedical engineering, physics, computer science, or related field; four years’ related lab experience (may include experience gained as an undergraduate); knowledge of one or more programming languages; experience configuring and using Linux systems and servers; experience with signal processing, computer systems, and technical writing; excellent interpersonal skills; and ability to interact effectively with senior faculty, staff, investigators, and students. PREFERRED: master’s degree, experience working on collaborative open source software development projects and using relational database systems (e.g., Postgres) and cloud services, familiarity with distributed version control systems (e.g., Git); and interest in signal processing and/or biomedical research. Job 19474 4/6/21