[Next-Generation Sequencing Book]
  • [Photo] David Nix • November 10, 2008

    BACKGROUND

    Sick of the commute? Imagine skiing, climbing, biking, and hiking as after work activities. Spend your weekends in some of the most beautiful national parks in the US. Move to Salt Lake! We did and don't regret a single day. We're looking for a motivated bioinformatics analyst/ programmer with some experience in genomic analysis to join our team. Check out the ad below and apply.

    POSITION: Research Associate – Bioinformatics

    RESPONSIBILITIES

    The Bioinformatics Core Facility at the University of Utah, jointly managed by the University of Utah Health Science Center and the Huntsman Cancer Institute, seeks a Bioinformatics Data Analyst / Programmer to join its staff. This Research Associate will assist researchers with the design of next-generation sequencing and microarray experiments, analyze and interpret data from those experiments, and evaluate or create new data analysis and data management tools. http://bioserver.hci.utah.edu

    Essential Functions:
    • Analyze data from genomic experiments, including gene expression microarrays, genomic tiling arrays, and next-generation sequencing experiments. Format analysis results for presentation or publication.
    • Assist researchers with the design of microarray and next-generation sequencing experiments, including choice of genomic technologies and power analysis.
    • Instruct personnel in collaborating labs on analysis methods.
    • Evaluate or create new data analysis and data management tools.

    REQUIREMENTS

    • B.S. or M.S. in Bioinformatics, Computer Science, Biostatistics, or related field.
    • 1 or more years of relevant experience in genomic data analysis (including microarray and sequence data analysis).
    • Familiarity with statistics, bioinformatics tools, and molecular biology.
    • Software development experience in languages such as Java, Python, C++, Perl, SQL, and R.
    • Familiarity with public genome and gene expression databases.
    • Familiarity with genomic experiment design principles.
    • Familiarity with relational database design principles.

    HOW TO APPLY

    Apply through the University of Utah Job Site. Go to http://www.hr.utah.edu/careers/ -> External Candidates -> enter Job ID 34785

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