Bioinformatics Programmer for Metagenomics Center - University of Oregon

ndunn · 04-09-2013, 02:45 PM

The University of Oregon is looking for a bioinformatics programmer for their new metagenomics center. Details here: http://jobs.uoregon.edu/unclassified.php?id=4237

I have worked here a year as a general scientific programmer, and it a really great group of people to work with.

Responsibilities include:
• Consultation with individual researchers on methods for analyzing large data sets generated by Illumina sequencers in the UO’s Genomics Core Facility or sequence data from other sources
• Help researchers develop data management strategies for all stages of the data “life cycle”: transferring data from sequencing centers to ACISS (our local cluster) or other computational resources, passing it through a variety of analysis pipelines, publishing results, and arranging for long term archival storage
• Design and implement new techniques for analyzing bioinformatics data.
• Use programming expertise, graphics, and technology tools to present data in ways that are accurate, innovative, accessible, and appealing
• Provide education and training to faculty, postdocs, and graduate students on basic tools and techniques in bioinformatics
• Participate in the planning process for acquisition of new computational and storage infrastructure

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04-09-2013, 02:45 PM	#1
ndunn Junior Member Location: Eugene, OR Join Date: Apr 2013 Posts: 2	Bioinformatics Programmer for Metagenomics Center - University of Oregon The University of Oregon is looking for a bioinformatics programmer for their new metagenomics center. Details here: http://jobs.uoregon.edu/unclassified.php?id=4237 I have worked here a year as a general scientific programmer, and it a really great group of people to work with. Responsibilities include: • Consultation with individual researchers on methods for analyzing large data sets generated by Illumina sequencers in the UO’s Genomics Core Facility or sequence data from other sources • Help researchers develop data management strategies for all stages of the data “life cycle”: transferring data from sequencing centers to ACISS (our local cluster) or other computational resources, passing it through a variety of analysis pipelines, publishing results, and arranging for long term archival storage • Design and implement new techniques for analyzing bioinformatics data. • Use programming expertise, graphics, and technology tools to present data in ways that are accurate, innovative, accessible, and appealing • Provide education and training to faculty, postdocs, and graduate students on basic tools and techniques in bioinformatics • Participate in the planning process for acquisition of new computational and storage infrastructure