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    Opportunity: BIOINFORMATICIAN @ University of Manitoba--Winnepeg, MB, Canada
    Submitted by Brian Fristensky; posted on Thursday, September 22, 2011

    Submitter

    BACKGROUND

    One position is available to conduct cutting-edge research employing the tools of bioinformatics in a multidisciplinary team including microbiologists, molecular biologists and biosystems engineers. This is an outstanding opportunity to contribute to research whose aim is to develop a sustainable energy source from cellulosic wastes. This collaborative project seeks to characterize both known and newly discovered cellulose-degrading microbes and their genomes, leading to metabolic engineering, and to the development of designer microbial consortia, to enhance synthesis of fuels and bioproducts. A range of organisms, approaches and biofuels will be investigated. A project summary can be viewed at www.microbialrefinery.com. This project is co-funded by Genome Canada and the Manitoba Ministry of Science, Technology Energy and Mines (STEM).

    RESPONSIBILITIES

    The successful applicant will join a team of bioinformaticians and information technologists who are mining and managing data from this project. This team carries out work in the following areas: analysis of data from transcriptomics and microarray experiments; dannotation of newly-sequenced microbial genomes; development of high-throughput analytical pipelines; database design; software design; comparative genomics of cellulose degrading microorganisms; data mining and in-silico metabolic engineering. This project affords many opportunities for original contributions in both basic and applied research in bioinformatics, as they relate to the project.

    REQUIREMENTS

    Qualified applicants must:
    • Possess a Ph.D. in Bioinformatics or Biostatistics from a recognized University. Exceptional candidates who have not completed a Ph.D. will also be considered.
    • Have knowledge of microbiology and biochemistry with strengths in data mining and programming
    • Have extensive experience in object-oriented programming in Java or Python on a Unix platform
    • Have a demonstrated record of independent as well as collaborative research and scholarly publications
    • And excellent oral and written communication skills

    PREFERENCES

    A bioinformatician with a background in data analysis and statistics, and strong programming skills.

    TERMS

    Funding for the project is available through September 30, 2013.

    FINAL BUDGETARY APPROVAL OF FUNDING FOR THIS POSITION IS PENDING.

    LOCALE

    The University of Manitoba is located in Winnipeg, the largest city in the province of Manitoba. The city has a rich cultural environment including symphony, opera, dance, theatre, sports, and ethnic festivals. The region provides ample opportunities for outdoor recreation in all seasons. Learn more about Winnipeg at www.winnipeg.ca.

    COMPENSATION

    $CAN 35,000/year or higher, depending on experience.

    HOW TO APPLY

    The University of Manitoba exercises a Canadian-first policy; however, all those qualified are encouraged to apply. The review of applications will continue until the position is filled. Application materials, including letters of reference, will be handled in accordance with the protection of privacy provisions of "The Freedom of Information and Protection of Privacy" (Manitoba). Please note that your curriculum vitae will be provided to participating members of the search process. Applications, including curriculum vitae, short statement of research interests and the names and addresses (including phone, fax and e-mail addresses) of three referees should be sent to:

    Dr. Brian Fristensky
    Associate Professor
    Department of Plant Science
    University of Manitoba
    Winnipeg, MB CANADA R3T 2N2
    Phone: 204-474-6085 FAX: 204-474-7528
    Email:frist[at]cc.umanitoba.ca
    home.cc.umanitoba.ca/~frist

    DEADLINE

    Closing date: October 7, 2011 or until position is filled.
    Start date: 1 November 2011 or as soon thereafter as possible.

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