Bioconductor Employment: Statistical Research Associate
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Last seen 3 months ago
United States
Bioconductors! -- please see the job description below for a Statistical Research Associate opening with the Bioconductor group. See choose 'Search Jobs' at the Fred Hutchinson Cancer Research Center, and look for job ID 24198 for a complete job description. Please contact me directly with any questions. Best, Martin ---- The Bioconductor project ( seeks a creative and motivated individual to join our bioinformatics team. Bioconductor develops and distributes open-source, open-development software for analysis and comprehension of high-throughput genomic data from sequencing and other sources. Bioconductor is based on the R language for statistical analysis, with more than 500 software packages developed internally and by our vibrant user community. SCOPE OF RESPONSIBILITIES: This unique opportunity links scientific research with software development. The applicant will work under immediate technical direction to analyze and comprehend high-throughput sequence data, translating their research insights into appropriate Bioconductor work flows. MAJOR DUTIES: This position involves bioinformatic analysis of high-throughput sequence data using R / Bioconductor tools. The applicant will, in consultation with other team members, identify appropriate analytic approaches and work flows. The applicant will implement the analysis, and arrive at scientifically sound conclusions. The applicant will identify common work flows, communicating these to other team members. Secondary duties involve participation in ongoing Bioconductor tasks, including maintenance of contributed packages, technical previews of new contributed packages, and tasks related to twice-yearly releases. There are opportunities for user support through our mailing list, regular course offerings, and an annual conference. MINIMUM QUALIFICATIONS: 1) Master?s degree or comparable experience in biological science, bioinformatics, or related disciplines. 2) Familiarity with programming languages, for example C, Matlab, and especially R. 3) Familiarity with statistical concepts and methods. Recommended qualifications include: 1) A strong biological background. 2) Experience with managing high-volume genetic data, such as from next-generation sequence pipelines, and with relevant public annotation resources. 3) Familiarity with bioinformatic work flows, especially analysis of sequence data from RNA, ChIP, and DNAseq experiments. 4) Experience with software development best practices appropriate for small teams, for instance use of version control, unit tests, agile project management, and creation of end-user documentation. -- Computational Biology Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N. PO Box 19024 Seattle, WA 98109 Location: M1-B861 Telephone: 206 667-2793
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