Tech Staff Data Scientist

Key Skills

Aartificial intelligence, Algorithms, Bioinformatics, Data science techniques, Java Programming, Python Programming, R Programming

Job Description

The Biological & Chemical Technologies Group develops advanced biological and chemical technologies to address urgent national security challenges. Capabilities within the Group include molecular, cellular, and synthetic biology; microbiome engineering; rapid DNA sequencing; bioinformatics; analytical chemistry; organic chemistry; mass spectrometry; laser spectroscopy; microfluidics; and rapid prototyping. These capabilities are applied to solving high-priority problems spanning biomanufacturing; chemical, biological, and explosives (CBE) detection and attribution; pathogen identification and characterization; molecular intelligence; and biosecurity. Our multidisciplinary team works across and outside the Laboratory to solve hard problems using innovative bio/chemical engineering and analytics.

The Biological & Chemical Technologies Group is in search of a creative individual to expand our data science and bioinformatics portfolios. As a technical staff, you will lead a team of data scientists to address key national stakeholder needs and further the Group’s mission by developing and applying world-leading computing technologies to biomedical and applied biotechnology research challenges. You will also be supporting critical operations, developing and delivering national large-scale data resources, and developing and utilizing leading-edge software. Example areas of efforts include but are not limited to gaining insights from 2D and 3D biomedical images, clinical, physiological and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science at the molecular level. As a technical staff, you will be a principal investigator for projects, lead teams, define research plans, and provide technical and management oversight.

Requirements

• Ph.D. in Data Science, Computational Biology, Bioinformatics, or related scientific field or equivalent experience in technical analysis. In lieu of a Ph.D., a master’s degree with 5+ years of directly related experience will be considered.

• Experience with existing, as well as developing new, multi-omics (transcriptomics, proteomics, metabolomics) and protein sequence pipelines and state-of-the-art artificial intelligence algorithms.

• Demonstrated ability to develop a long-term vision to derive actionable information from multi-modal biological data.

• Experience in large-scale data management, curation and aggregation of molecular, physiological and clinical data.

• Ability to work collaboratively and lead highly interdisciplinary teams.

• Demonstrated skills in scientific writing, as well as development and clear presentation of technical materials to a wide spectrum of technical and non-technical audiences.

• Occasional travel (<10%) with optional opportunities for travel.

Experience developing in Python, R, Java in native or cloud environments, and working with databases is a plus.

For Benefits Information, clickhttp://hrweb.mit.edu/benefits

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

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.