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    Opportunity: Staff Scientist in Quantitative Genetic Epidemiology Group (#SC-23040) @ FHCRC--Seattle, WA (US)
    Submitted by Alysha Duran; posted on Tuesday, October 26, 2010

    BACKGROUND

    Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the Centerís five scientific divisions collaborate to form a unique environment for conducting basic and applied science. The Hutchinson Center, in collaboration with its clinical and research partners, the University of Washington and Seattle Childrenís, is the only National Cancer Institute (NCI)-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference.

    The Quantitative Genetic Epidemiology (QGE) group is recruiting a Staff Scientist to conduct research in the areas of statistical genetics and translational research in genetic medicine. The research projects require utilizing new and established quantitative methods to work with data from a number of disciplines and sources, including data from genomic, proteomics, transcriptomics, and clinical follow-up studies.

    RESPONSIBILITIES

    A well-established research program in the Biostatistics/Biomathematics Program in the Public Health Sciences and Clinical Research Divisions is interested in developing novel statistical/computational methods for genomic researches. They are recruiting a Staff Scientist to work on development of methodologies and implementations of novel algorithms for statistical genetics and their applications to bone marrow transplantation research and population-based researches. The Staff Scientist will work with the principal investigator and a team of quantitative scientists in the group, and will foster collaborations with investigators from Clinical Sciences and Molecular Biology.
    • Develop and design new research methodologies for assessing genetic associations with complex phenotypes arising from clinical follow-up studies.
    • Develop and design statistical methodologies for assessing sequence-based associations with complex phenotypes.
    • Identify, design, and implement novel computational algorithms for newly developed methodologies.
    • Analyze experimental data, make decisions about follow up experiments, troubleshoot technical problems, and develop strategies for problem resolution.
    • Collaborate with clinical investigators and molecular biologists in applications of the new methods.
    • Develop protocols and perform statistical and computer assisted data analyses.
    • Prepare written progress reports for oral presentations of findings at laboratory meetings, conferences, and for publication.
    • Assist with the contribution to and compilation of data for publication and grant proposals.
    • Maintain research data, and provide information per requests
    • Perform other duties as required

    REQUIREMENTS

    • A Ph.D. degree with significant experience or postdoctoral training in statistics / statistical genetics / computational biology / biostatistics / applied mathematics / computational mathematics / computational physics or equivalent

    PREFERENCES

    • Two or more years of experience in a related area is preferred, as are the following qualifications:
    • - Working experience in the fields of statistical applications to genetics and computational statistics
    • - Working experiences with commonly used statistical packages (SAS, SPSS, S+, R) and also with programming languages (C/C++, Java, Matlab)
    • - Working experiences with handling and processing high dimensional data
    • - Ability to organize work and think independently and collaboratively
    • - Ability to develop creative approaches to develop new methods and new design
    • - Ability to work well independently and collaboratively in a team working environment

    LOCALE

    Seattle, WA

    COMPENSATION

    Salary DOE + Excellent Benefits

    HOW TO APPLY

    Please refer to position number SC-23040, apply online at fhcrc.org/abou[...].html AND send a letter summarizing previous work experience and research interests, a complete CV, and contact information for three professional references to:

    Scott Canavera
    Scientific Recruiter
    Human Resources, J1-105
    Fred Hutchinson Cancer Research Center
    P.O. Box 19024
    Seattle, WA 98109
    scanaver[at]fhcrc.org
    FAX 206.667.4051

    Electronic submissions are preferred.

    ARTICLE: Please refer to position number SC-23040

    POLICY

    The Fred Hutchinson Cancer Research Center and the Seattle Cancer Care Alliance are equal opportunity employers, committed to workforce diversity.

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