Research - Laboratory/Non-Laboratory, Staff/Administrative
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.
RESEARCH ASSOCIATE , Institute for Medical Engineering and Science (IMES)- Laboratory for Computational Physiology (LCP) , to join data scientists and health practitioners conducting 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 for research studies, and initiate and develop research software; and collect patient clinical data from the ICUs of collaborating hospitals via a private VPN and reformat data into a relational database integrated with MIMIC. Three categories of data are collected and incorporated--clinical data, high-resolution physiological data, and images. Will de-identify new clinical data to remove protected health information and prepare detailed documentation of patient data; maintain close working relationships with hospital IT collaborators and develop federated ICU databases from additional partner medical centers; provide user support for the clinical database and collaborate with lab members to develop new software; and perform other duties as assigned. There will be opportunities to carry out self-driven projects, write open-source code, and participate in research.
Job Requirements REQUIRED : master's degree in biomedical engineering, physics, computer science, or closely related field; two years' related lab experience; knowledge of one or more programming languages, computer networking, and web development; experience with configuration and use of Linux systems and servers, relational database management, computer systems, and technical writing; excellent interpersonal skills; and ability to interact effectively with senior faculty/administrative assistants/laboratory investigators/students. PREFERRED : 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 #19526
Internal Number: 19526
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