[Next-Generation Sequencing Book]
  • [Photo] Bill Cannan • October 12, 2011

    RESPONSIBILITIES

    Organization: GN-Genomics Division

    The DOE Joint Genome Institute (JGI) in Walnut Creek, CA (a division of the Lawrence Berkeley National Lab) has an exciting opportunity available for a Statistician Postdoctoral Researcher. Under general supervision of principal investigators, will perform research relevant to the missions of the Genome Analysis Group. Work as part of a team including Biologists, Bioinformaticians, and Computer Scientists, to develop and apply machine learning, statistical modeling, and pattern recognition methods to metagenome/metatranscriptome sequence data and derive testable hypotheses. Will Publish scientific manuscripts describing results. For more information about potential projects please refer to our recent publication: http://www.sciencemag.org/content/331/6016/463.full.

    Specific Job Duties:
    Essential-
    • Apply both supervised and unsupervised machine learning techniques to improve the prediction of the function of novel proteins derived from our genome and metagenome sequencing projects.
    •  Perform genetic pathway analysis and gene regulatory network to elucidate the relationship among gene, protein, and metabolites.
    •  Work with software engineers in producing generic data analysis software pipelines for the above tasks.
    •  Assist in the development of DOE relevant enzyme databases.
    •  Prepare research results for publication and for presentations at scientific meetings.
    Marginal-
    • Provide ad hoc general analytical support to the Genome Technology group.

    REQUIREMENTS

    • Recent PhD in Computer Science, Statistics, Biostatistics, Bioinformatics with training/experience in machine learning, pattern recognition, and statistics.
    •  Expertise in parametric and nonparametric statistical tests and machine learning.
    • Familiarity with R, Bioconductor, MATLAB, SAS or similar statistical software.
    •  Familiarity with one or more of the following programming languages: C/C++, PERL, PYTHON, and JAVA.
    •  Knowledge of relational databases, high performance computing or cloud computing is a plus but not required
    •  Some background in microbiology or molecular biology is desirable.
    • Commitment to and demonstrated ability to perform collaborative research in an interdisciplinary team environment

    HOW TO APPLY

    Apply directly online at http://bit.ly/lbl73709Bioinfo and follow the on-line instructions to complete the application process.

    POLICY

    Berkeley Lab is an affirmative action/equal opportunity employer committed to the development of a diverse workforce.

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