Job ID: 15149
Job date: 2018-02-09
End Date:
Company : Massachusetts Institute of Technology Country : Role : Research Scientist
Job date: 2018-02-09
End Date:
Company : Massachusetts Institute of Technology Country : Role : Research Scientist
Job Description:
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 machine-learning algorithms for experimental design, 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. Will work closely with researchers across the country including scientists, engineers, and software developers to ensure the resulting tools have broad utility and are incorporated into community-wide design platforms. Job Requirements: REQUIRED: a master’s degree (Ph.D. preferred) in bioinformatics, computer science, machine learning, applied statistics, or related field; a minimum of four years’ work experience in a research environment, including significant experience developing machine learning methods and/or computational biology; experience developing analytical software (bioinformatics and/or machine learning) across a variety of platforms and a variety of languages; familiarity with Python; experience developing and utilizing APIs; software development skills including development environments, unit testing, version control, and establishing requirements; superb quantitative, interpersonal, and oral and written communication skills; and the ability to work independently and promote collaboration and cooperation among teams. Must enjoy and be effective at working in a fast-paced, cutting-edge, and challenging environment. Job #15149 There will be occasional domestic and international travel and night and weekend work required.
Additional Info:
Job Number: 15149 Functional Area: Research - Scientific Department: Department of Biological Engineering School Area: Engineering Employment Type: Full-Time Employment Category: Exempt Visa Sponsorship Available: Yes 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. [Click Here to Access the Original Job Post]
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 machine-learning algorithms for experimental design, 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. Will work closely with researchers across the country including scientists, engineers, and software developers to ensure the resulting tools have broad utility and are incorporated into community-wide design platforms. Job Requirements: REQUIRED: a master’s degree (Ph.D. preferred) in bioinformatics, computer science, machine learning, applied statistics, or related field; a minimum of four years’ work experience in a research environment, including significant experience developing machine learning methods and/or computational biology; experience developing analytical software (bioinformatics and/or machine learning) across a variety of platforms and a variety of languages; familiarity with Python; experience developing and utilizing APIs; software development skills including development environments, unit testing, version control, and establishing requirements; superb quantitative, interpersonal, and oral and written communication skills; and the ability to work independently and promote collaboration and cooperation among teams. Must enjoy and be effective at working in a fast-paced, cutting-edge, and challenging environment. Job #15149 There will be occasional domestic and international travel and night and weekend work required.
Requeriments :
Skills :
- Bioinformatics
- Computational Biology
- Machine Learning
- Programing in Python
- Software Design
- Version Control
Areas :
Additional Info:
Job Number: 15149 Functional Area: Research - Scientific Department: Department of Biological Engineering School Area: Engineering Employment Type: Full-Time Employment Category: Exempt Visa Sponsorship Available: Yes 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. [Click Here to Access the Original Job Post]