Job Description:
The Bioengineering Systems and Technologies Group seeks to improve the performance of human-centered missions through preventing injury and disease, improving sensing and identification of people and their environment, and speeding rehabilitation and recovery. This goal 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 area emphasizes the development of 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. Job Description: Candidate will participate in projects that develop bioinformatics concepts, algorithms, software development, data mining, and test and evaluation capability. These projects will be in support of the group's efforts in biodefense, biometrics/forensics and biomedical research. The candidate will process extremely large data sets from high throughput biological assays including high throughput sequencing (HTS) data, develop algorithms to extract relevant features, develop models to classify and predict outcomes, and create data visualizations. Requirements: The candidate is a student in a B.S. or M.S. in Computer Science, Bioinformatics, Computational Biology, or Software Engineering program. Must be proficient in one or more common programming languages such as Python, Ruby, Scala, Java, or C++. Knowledge of genetics and other subfields of biology is a plus. Knowledge of Ruby on Rails and SQL is a plus. Knowledge of machine learning or big data approaches is a plus.
Additional Info:
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. Apply now [Click Here to Access the Original Job Post]
The Bioengineering Systems and Technologies Group seeks to improve the performance of human-centered missions through preventing injury and disease, improving sensing and identification of people and their environment, and speeding rehabilitation and recovery. This goal 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 area emphasizes the development of 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. Job Description: Candidate will participate in projects that develop bioinformatics concepts, algorithms, software development, data mining, and test and evaluation capability. These projects will be in support of the group's efforts in biodefense, biometrics/forensics and biomedical research. The candidate will process extremely large data sets from high throughput biological assays including high throughput sequencing (HTS) data, develop algorithms to extract relevant features, develop models to classify and predict outcomes, and create data visualizations. Requirements: The candidate is a student in a B.S. or M.S. in Computer Science, Bioinformatics, Computational Biology, or Software Engineering program. Must be proficient in one or more common programming languages such as Python, Ruby, Scala, Java, or C++. Knowledge of genetics and other subfields of biology is a plus. Knowledge of Ruby on Rails and SQL is a plus. Knowledge of machine learning or big data approaches is a plus.
Requeriments :
Skills :
- Biology
- Data Mining
- Genetics
- Machine Learning
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Software Design
- SQL
Areas :
Additional Info:
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. Apply now [Click Here to Access the Original Job Post]