[Next-Generation Sequencing Book]
  • [Photo] Flora Danhua Fan • March 12, 2010

    BACKGROUND

    The Masonic Cancer Center is an NCI designated Comprehensive Cancer Center in the middle of a vibrant urban campus that spans the Mississippi River. Surrounded by green open spaces, and the cultural treasures offered by the Twin Cities of Minneapolis and St. Paul, the campus has excellent public transportation options to a variety of popular destinations.

    RESPONSIBILITIES

    The successful candidate will work closely with researchers and other Bioinformatics scientists within the Masonic Cancer Center to provide computational support for cancer research projects. Emphasis will be placed on current Cancer Center researchers' priorities, such as analyses involving forward genetic cancer gene discovery, gene expression, and global identification studies of transcription factor binding sites or altered methylation states.

    Duties:
    • Consult with Masonic Cancer Center researchers to match leading Bioinformatics technologies to their research programs.
    • Plan and carry out computational analyses.
    • Participate in the design, implementation, and maintenance of analysis pipelines for biological research data.
    • Develop prototype versions of software tools to analyze the data from emerging biotechnologies.
    • Assist in the evaluation of third-party software tools.
    • Work collaboratively with Masonic Cancer Center researchers, other members of the Cancer Center Bioinformatics group, and other informatics groups on campus.
    • Assist in the writing and preparation of grant proposals and manuscripts for peer review.

    REQUIREMENTS

    • PhD in molecular biology or the computational sciences, with two years additional on-the-job training in Bioinformatics
    • Applicants must have experience working with team members with both biological and computational backgrounds.
    • Candidates must have a good understanding of molecular biology and genetics.
    • Additionally, candidates should have a minimum of three years of computer programming experience using Perl or Java.
    • Strong oral and written communication skills and rigorous documentation habits are required.

    PREFERENCES

    • Experience with R/Bioconductor, BioPerl or BioJava, and SQL is highly desired.
    • Experience analyzing genome wide data sets (e.g., gene expression, arrayCGH, ChIP-chip or ChIP-seq, SNP discovery and global methylation) is also highly desirable.
    • Coursework or experience/familiarity with basic statistical terminologies and methods is preferred.
    TERMS: Full time

    LOCALE: Minneapolis, MN

    COMPENSATION

    the University of Minnesota offers a comprehensive package of benefits including medical, dental, retirement, life and disability.

    HOW TO APPLY

    To apply, and to view official posting, visit: http://employment.umn.edu/applicants/Central?quickFind=85958

    DEADLINE: Open until filled

    The University of Minnesota is an equal opportunity educator and employer.

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