Bioinformatics.org
[NEU MS in Health Informatics]
Not logged in
  • Log in
  • Bioinformatics.org
    Membership (37773+) Group hosting [?]
  • Wiki
  • Franklin Award
  • Sponsorships
  • Careers
    About bioinformatics
    Bioinformatics training
    Bioinformatics jobs

    Research
    All information groups
    Online databases Online analysis tools Online education tools More tools

    Development
    All software groups
    FTP repository
    SVN & CVS repositories [?]
    Mailing lists

    Forums
    News & Commentary
  • Submit
  • Archives
  • Subscribe

  • Jobs Forum
    (Career Center)
  • Submit
  • Archives
  • Subscribe
  • Career Center - Message forums

    Opportunity: COMPUTATIONAL BIOLOGIST Postdoc Fellow -- Genome Analysis (#75043) @ DOE Joint Genome Institute -- Walnut Creek, CA (US)
    Submitted by Hannah Kuhns; posted on Saturday, August 25, 2012

    RESPONSIBILITIES

    Organization: GN-Genomics

    The DOE Joint Genome Institute (JGI) in Walnut Creek, CA (a division of the Lawrence Berkeley National Lab) has an exciting research opportunity available for a Computational Biologist Postdoctoral Researcher. Under general supervision of the principal investigator, perform research relevant to the missions of the Genome Analysis Group. Will work as part of a team that includes biologists, bioinformaticians, and computational biologists to develop novel algorithms and apply high performance computing technologies, including but not limit to cloud computing and GPU computing, to data intensive sequence analysis. Will also be responsible for publishing scientific manuscripts describing results. For more information about potential projects please refer to our recent publication: www.sciencemag.org/cont[...].full

    Specific Job Duties:
    Essential-
    • Apply cutting-edge high performance computing methods to analyze terabase-scale sequence data derived from large genome, transcriptome and metagenome sequencing projects.
    • In collaboration with academic and industry leaders, develop novel algorithms based on Cloud and GPU computing to speed up existing bioinformatics software.
    • Develop new algorithms to cope with data derived from new sequencing technologies (e.g., PacBio).
    • Prepare research results for publication and for presentations at scientific meetings
    Marginal-
    • Provide ad hoc general analytical support to the Genome Technology group.

    RESPONSIBILITIES

    Key Success Factors:
    • Recent PhD in computer science, bioinformatics, or in related disciplines with training/experience in high performance computing
    • Proven skills in algorithm development
    • Knowledge in common bioinformatics algorithms (alignment/assembly, etc) is a plus.
    • Strong organizational and record keeping skills to record experiment results and analyze data
    • Effective oral and written communication skills to present findings at group meetings and conferences and publish results
    • Ability to interact with a variety of technical and scientific personnel including Research Associates, Scientists and Software Engineers
    • A commitment to and demonstrated ability to perform collaborative research in an interdisciplinary team environment

    HOW TO APPLY

    Apply directly online at bit.ly/lbl7[...]atics and follow the instructions to complete the application process.

    POLICY

    Berkeley Lab is an Affirmative Action/Equal Employment Opportunity employer committed to the development of a diverse workforce.

    Expanded view | Monitor forum | Save place

    Start a new thread:
    You have to be logged in to post a reply.

     

    Copyright © 2016 · Scilico, LLC