Bioinformatics Scientist 11/12
111 TW Alexander dr Research Triangle Park, NC 27709
Research Triangle Park, NC
- 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.
- Work products and documents related to supporting scientific research projects: provide consultations for experimental design; conduct routine data analyses; develop and perform customized analytical strategies for each project; deliver the summary reports and visualization of results; assist with results interpretation; present results in team settings; and contribute to scientific manuscript preparation.
- Work products and documents related to supporting internal mass spectrometry core facilities: assist with data acquisition, management and pre-processing; assist with troubleshooting for instrument run issues, data processing issues, and sample performance issues; establish and maintain high throughput data processing and analysis systems; evaluate commercial software and open source software as requested by scientists.
- Work products and documents related to scientific research development: assist with the design and development of major proteomics-related programming projects for scientists; write custom scripts to access databases and analyze data; develop novel analytic methodology to meet the demands from rapidly evolving intramural scientific research.
- Work products and documents related to training and outreach: provide training for scientists in proteomic data analyses and interpretation; train scientists in the selection and use of proteomic bioinformatics tools; assist with the preparation and teaching of courses and/or demonstrations on the use of these tools; provide technical expertise for these software and tools.
- 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.