Featured RNA-Seq Job – Bioinformatics ‘Omics Analyst

Job #263254120

Group 48-Bioengineering Systems and Technologies

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, 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.


Candidate will participate in projects that analyze genetic data for bioengineering solutions to a range of national security problems. These projects will be in support of the group’s efforts in biodefense, biometrics/forensics, biomedical diagnostics, biomechanics, and physiological monitoring. The candidate will analyze transcriptomics and epigenetics NGS RNA-Seq and ChIP-Seq datasets, biological datasets, apply data mining, apply machine learning algorithms as appropriate per project, apply statistical analysis of datasets, and visualize genomic data using available tools. Analyst will characterize genes, promoters, enhancers, regulatory elements, histone modifications, pathways, transcription networks, etc. Developing software scripts to reformat data files for analysis tools will be done as needed.


The candidate must possess an M.S. in Bioinformatics, Biology, Molecular Biology, Computer Science, or Software Engineering. In Lieu of an M.S. degree, candidates with B.S. and 3 plus years of applicable work experience will be considered.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information.

U.S. citizenship is required.


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