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Ph. D. (or other graduate degree with equivalent experience) in computational biology, bioinformatics, genetics or related life, physical, or computational sciences with at least one publication demonstrating the use or development of computational biology applications.
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B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or Master’s degree or equivalent graduate degree including certificate-based advanced training courses.
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Social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing; 6+ years of experience in data science, analytics or quantitative intelligence analysis/digital forensics, and demonstrating progressive technical development and outcomes.
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Develop a computational platform for protein and antibody engineering. As our client continues to expand their group, we are seeking an outstanding Computational Protein Engineer. Up-to-date knowledge in computational biochemistry.
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Experience with computational analysis of large data sets, such as transcriptomics or proteomics. This includes a fitness center, employee healthcare clinic, electric vehicle charging stations, dry cleaning, full-service cafeteria and copy center.
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As part of this effort, you will work closely with experts in data management, software engineering, lab automation, computational modeling and machine learning, with access to biologics R&D data across client and the potential to generate new data to inform predictive models.
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Experience leading teams supporting engineering and administration of computational science infrastructure, including HPC and associated components. Experience leading computational science programs.
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Requirements:Ph. D. in computational chemistry, bioinformatics, structural biology, medicinal chemistry, or a related field. Generate, interpret, and communicate in silico data, and communicates data with the department lead as well as with project teamsContribute to the overall computational antibody strategy for multiple new drug R&D projects and play an active part in its implementationCollaborate with experimental researchers to validate and optimize designed antibodies through in vitro and in vivo assays.
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In this role, you will provide computational support to ensure high-quality clinical proteomics input for cancer biomarker development efforts. Ph. D. in bioinformatics, computational science, molecular biology or a related field with +5 years post-doctoral experience in bioinformatics.
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The Leidos Innovations Center has a current opening for a Data Scientist supporting our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
$81,250 - $146,875 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Staff Scientist will have the opportunity to integrate a wide range of behavioral and imaging technologies, including magnetoencephalography (MEG), structural and functional magnetic resonance imaging (fMRI, dMRI), eye tracking, and computational modeling (e.g., deep neural networks.
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Provide scientific research and programming support for cutting edge technology and training in the areas of bioinformatics and computational biology. of retional databases (e.g. PostgreSQL) to optimize extraction and analysis of multivariate data Use advanced knowledge and proficiency with a variety of statistical and computational techniques.
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Provide on-site, on-demand support and troubleshooting to researchers in the use of computational biology software. Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data.
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You will support an established program supporting our client's mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the DoD and IC enterprise.
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Computational Biology, Bioinformatics, Biostatistics, Computer Science or related discipline preferred. Computational Biologist III. Serve as a lead analyst for genomics research studies, spanning analysis plan development, data quality analysis, computational hypothesis testing, and results interpretation.
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computational job in Rockville, MD
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