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    Opportunity: Computational Biologist Postdoc Fellow -- Microbial Community Genomics (#79368) @ DOE Joint Genome Institute -- Walnut Creek, CA (US)
    Submitted by Hannah Kuhns; posted on Friday, June 06, 2014

    RESPONSIBILITIES

    The Department of Energy Joint Genome Institute- DOE JGI (a division of the Lawrence Berkeley National Lab) has an exciting Postdoctoral Research opportunity available for a Computational Biologist Postdoc. Will work as part of the Microbial Systems Group and Metagenome Program and perform research in microbial community genomics, with a strong emphasis on metagenome assembly and genome binning. Responsibilities include developing, testing, implementing and benchmarking methods for assembling and extracting complete genomes from metagenome sequence data generated from diverse library types (e.g. short and long insert) and sequencing technologies (Illumina HiSeq 2000, Illumina HiSeq 2500 and Pacific Biosciences). Will work closely with collaborators at the University of California, Berkeley and Oak Ridge National Laboratory and facilitate transfer of data, knowledge and software among institutions. Will store and organize results for presentation and viewing by project team members and the wider scientific community and prepare results for publication in scientific journals. Position reports to Microbial Systems Group lead.

    Specific Responsibilities:
    Essential-
    •  Work with JGI staff to obtain microbial data including shotgun metagenome sequence data from multiple next-gen technologies as well as single cell whole-genome-shotgun sequences and metatranscriptome sequence.
    •  Employ internal and external software and web-based analysis tools for processing and analyzing collected data.
    •  Develop, adapt and improve software for analysis tasks as needed.
    •  Store and organize results for presentation and viewing by JGI staff, collaborators and the wider scientific community.
    •  Interact with multi-institution project team to ensure efficient communication and completion of analysis projects.
    •  Document group analysis procedures and methods for reference.
    •  Write results up for publication.
    Marginal-
    •  Perform follow-up experiments to confirm computational predictions.
    •  Work with group members and/or outside collaborators on additional sequence analysis tasks

    REQUIREMENTS

    •  Ph.D. in life sciences or computer science with some relevant research experience in both areas.
    •  Strong background in bioinformatics, molecular biology and genomics including genome and metagenome assembly.
    •  Proficient in computer programming and experience using PC, Mac and/or UNIX operating systems.
    •  Experience with: use of computational methods, databases of genomic information, and methods of analysis for biological sequence data especially next-generation sequence data.
    •  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.

    PREFERENCES

    •  Experience using bioinformatics tools such as ARB, BLAST, IMG, QIIME.
    •  Laboratory experience in molecular biology.

    TERMS

    This is a 1 year appointment with the possibility of renewal dependent on performance, continuing availability of funds and ongoing operational needs. Work will be performed at the DOE Joint Genome Institute (JGI), located in Walnut Creek, CA.

    HOW TO APPLY

    Apply directly online at 50.73.55.13/counter.php?id=8188 and follow the on-line instructions to complete the application process.

    Organization: GN-Genomics

    POLICY

    Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age or protected veteran status.

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