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 SCIENTIST/COMPUTATIONAL BIOLOGIST , Biological Engineering , to help establish a platform for next-generation genetic design at the MIT-Broad Foundry, a synthetic biology facility sponsored by the Defense Advanced Research Projects Agency (DARPA). Will join a highly dynamic and multidisciplinary team bringing together novel techniques for molecular biology, automation, and computational analysis in order to establish a new paradigm for biological design. Responsibilities include developing computational pipelines for analyzing large big-data datasets of transcriptomics, proteomics, and metabolomics data and developing APIs that enable these tools to be used across a distributed research environment; and working closely with researchers across the country including scientists, engineers, and software developers to ensure the resulting tools have broad utility and ensure that they are incorporated into community-wide design platforms.
REQUIRED : a master's degree (Ph.D. preferred) in bioinformatics, computer science, machine learning, applied statistics, or related field; at least four years' work experience in a research environment, including significant experience developing machine learning methods and/or with computational biology; experience developing analytical software (bioinformatics and/or machine learning) across a variety of platforms and languages; familiarity with Python; experience developing and utilizing APIs; software development skills including development environments, unit testing, version control and establishing requirements; superb quantitative, and interpersonal, and oral and written communication skills; and the ability to promote collaboration and cooperation among teams and to work both independently and collaboratively. Must enjoy and be effective working in a fast paced, cutting-edge, and challenging environment. Job #16907
Quarterly domestic travel and occasional international travel will be required, as will occasional night and weekend work.
Internal Number: 16907
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