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Computational Biologist

Columbus Technologies and Services, Inc.
Durham, North Carolina, US
Closing date
Aug 13, 2021

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Academic / Research, Consultancy/Private Sector
Informatics / GIS
Salary Type
Employment Type
Full time
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Roles and responsibilities
Must be authorized to work in the United States
Some travel may be required
Offer contingent on ability to successfully pass a background check and drug screen

Columbus Technologies and Services Inc. is a strategic supplier and business partner to the federal government and its key suppliers. Through our partnership with the National Institutes of Health, Columbus offers administrative, IT, engineering, scientific, and healthcare professionals the opportunity to work with one of the most prestigious research organizations in the world. We are currently seeking a Computational Biologist to work onsite with the National Institutes of Health in Research Triangle, NC.

This is a long-term position which offers:
- Competitive salary
- Tremendous growth opportunity
- Opportunity to work at NIH, the world's foremost medical research center
- Learn more about what Columbus can do for you at

Job Description:

• Collaborate with the mass spectrometry group to recommend and perform computational approaches for analyzing and interpreting proteomic/metabolomic data as well as prepare and present the results based on the scientific objectives.
• Conduct routine data analyses; develop customized analytical strategies for each project; deliver summary reports and visualization of results; assist with interpretation.
• Support the mass spectrometry group in developing custom pipelines for data acquisition, metadata tagging, management and archiving.
• Develop and maintain custom software and pipelines as well as evaluate and utilize commercial and open source software for proteomics and metabolomic analyses.
• Establish reproducible data analysis pipelines and standard operating procedures; provide detailed documentations for methodologies so they can be reproduced and applied to similar studies.
• Develop analytical approaches to integrate multiple omic data generated internally as well as use of publicly available datasets.
• Proficiently apply statistical software and associated bioinformatics packages related to mass spectrometry based omic data.
• Collaborate with staff on design and development of major proteomics and metabolomics related programming projects; write custom scripts; develop novel analytic methodology.
• Write data analysis sections of manuscripts, prepare publication quality figures, and deposit data to external repositories that meet publication requirements.
• Provide ad hoc trainings and hands on workshops on the use of computational proteomics tools, data analyses and interpretation; provide technical expertise for software and tools.
• Attend group meetings with scientists and diverse technology specialists; present findings to individuals and groups.
• Update job knowledge and remain current with emerging technologies, advances in biology, chemical biology, proteomics, and bioinformatics.

Required Skills:

• Ph.D. in Biochemistry, Analytical Chemistry, Bioinformatics, or a related discipline; three (3) years of specialized experience plus a Master's degree is equivalent to a Ph.D.; five (5) years of specialized experience plus a Bachelor's degree is equivalent to a Ph.D. degree.
• Minimum of three (3) years of experience in a related field
• Minimum of two (2) years of related experience in a mass spectrometry based proteomics or metabolomics research environment or in a core facility setting.
• General knowledge of common proteomic and metabolomic assays and techniques including LC/MS/MS. This knowledge could arise from coursework, conferences, tutorials or seminars.
• Knowledge and experience with mass spectrometry based proteomics, metabolomics or lipidomics data analysis, open sources programs, commercial software and public data resources.
• Proficiency in working in a UNIX/LINUX environment, and with at least one UNIX based scripting languages (Perl, Python, etc,),
• Proficiency with statistical/mathematical software such as R/MATLAB or equivalent and associated bioinformatics libraries/packages.
• Experience in developing and implementing algorithms and pipelines for the processing omics data.
• Experience with proteomics, metabolomics or lipidomics data.
• Ability to write manuscripts for publication, and record of high quality publications and oral presentations.
• Strong analytical and problem solving skills, as well as organizational and time management skills.
• Demonstrated excellent verbal and written communication skills.
• Demonstrated interpersonal skills with the ability to work effectively with an interdisciplinary team, including laboratory scientists, bioinformaticians, statisticians, and data analysts.
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