| Description: | The Bioengineering Systems and Technologies Group seeks to improve the performance of human-centered missions through prevention of injury and disease, improving sensing and identification of people and their environment, and speeding rehabilitation and recovery. This is accomplished through four broad technical areas: biomedical research, synthetic biology, bioinformatics and biometrics and forensics. Biomedical research includes advanced sensing, algorithms, modeling, prototyping and field testing of technologies to diagnose disease, predict outcomes, avoid injuries, and monitor and enhance human performance. The synthetic biology research is developing tools and techniques that will greatly speed the design, evaluation and assessment of genome-wide engineering approaches through highly integrated microfluidic devices. Bioinformatics is applied across the group to uncover signatures in high throughput genomic, metagenomic, epigenomic, transcriptomic and proteomic data sets. Biometrics and forensics research is developing technologies and systems for human identification, including rapid DNA analysis, standoff biometric sensing, scientific validation of forensic techniques, and integrated architecture analyses. This highly interdisciplinary group draws on skills from biology, biochemistry, biosignal processing, engineering, computer science, physics, and medical research areas. Primary government sponsors are in the Departments of Defense, Homeland Security and Justice, as well as the National Institutes of Health. Description: Candidate will participate in projects that develop bioinformatics concepts, algorithms and test and evaluation capability. These projects will be in support of the group's efforts in biodefense, biometrics/forensics and biomedical diagnostics. The candidate will process extremely large data sets from high throughput biological assays, develop algorithms to extract relevant features and develop models to classify and predict outcomes. Candidate will be required to translate technical biology concepts for non-biology audiences, both within the laboratory and for government sponsors. Requirements: The candidate must possess a Ph.D. in bioinformatics, computational biology, bio/physics, math, computer science or physics. In lieu of a Ph.D., a M.S. with 5+ years of directly related experience will be considered. Must have demonstrated experience in developing algorithms to analyze large biological data sets. Must be proficient in common Bioinformatics programming languages such as Python, Ruby, C++, Perl, R, and Matlab. Candidate must also have a proven track record of publishing results in scientific journals. MIT Lincoln Laboratory is an Equal Opportunity Employer, M/F/D/V. U.S. citizenship is required. MIT Lincoln Laboratory is an Equal Opportunity Employer, M/F/D/V. U.S. citizenship is required. When applying for any position or internship, please be sure not to upload transcripts, resumes, or other information that may include your Social Security Number. Web Accessibility PolicyMIT Lincoln Laboratory strives to maintain a fully accessible website as described in Section 508 of the Rehabilitation Acts of 1998 and the Web Accessibility Guidelines. If you are an individual with a disability or a disabled veteran who is unable to use our online tools to search and apply for jobs, you may request accommodation by contacting the Human Resources Department at 781-981-7066 and asking for the Recruiting Department. You may also contact us by e-mail toRecruitingDept@ll.mit.edu. This option is reserved for individuals who are unable to use, or require assistance with, the online tools as the result of a disability and is not intended for other purposes. |
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