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  • Sharon Collins
    Junior Member
    • Dec 2013
    • 3

    Bioinformatics Postdoctoral Fellowship in Computational and Systems Biology

    Department of Health and Human Services
    National Institutes of Health
    National Human Genome Research Institute
    Inherited Disease Branch



    Bioinformatics Postdoctoral Fellowship in Computational and Systems Biology

    A postdoctoral training position is currently available in Dr. Gary H. Gibbons’ Biomedical Informatics Lab in the Inherited Disease Branch, Cardiovascular Cluster (IDB-CC) of the National Human Genome Research Institute (NHGRI). The successful candidate is expected to join an established biomedical informatics team, which is currently comprised of ten additional biomedical informatics analysts, clinical, computer science and engineer staff. Additionally, the candidate will work closely with our sister lab that focuses on population epidemiology with staff consisting of a Principal Investigator and Senior Population Epidemiologist, and five additional population/genetic epidemiologists.
    One ongoing project in the IDB-CC consist of developing analyses algorithms that are robust in predictively modeling the stochastic relationships in data derived from omic, clinical and biosurveillance data. We aim to use computers to model gene-gen interactions into relevant networks that are statistically significantly associated with cardiovascular disease (CVD), and to stepwise build the significant gene-gene and multiple biological pathway gene interactions into biological systems (cardiovascular, immune, digestive, neurological systems etc…) interaction simulations. One of the main areas of the lab is to develop fixable clustering and dimensionality reduction algorithms that will dichotomize data in different ways displaying the biological relevance with high predictability of CVD. Our goal is to develop reproducible “holistic” biological systems relationships modeling CVD biopathology in African Americans.
    The qualified candidate should be highly motivated and have or be close to obtaining a Ph.D. in mathematics, computer science, engineering, computational biology, genetics, physics, or a related quantitative discipline or related field upon the job start date. The successful candidate should have experience in analyzing large scale biologic data, proficient in programming languages (Python, Perl, Java, XML or C/C++) and very familiar with systems biology approaches for data dimensionality reduction, pathway and gene network predictive modeling. Good understanding of parameter estimation, simulation, and sensitivity analyses of derived CVD data attributes in hierarchical relevant networks are desirable. Applicant must possess good communication skills and be fluent in both spoken and written English. Funding is available to support this position for up to five years. Salary is based on NIH standard. The candidate will have the opportunity to access many high throughput datasets and to interact with the investigators at the National Institutes of Health and other academic and science based institutions.
    Interested applicants should submit curriculum vitae, a detailed letter of interest, and the names of three potential referees to Dr. Adam R. Davis, at adam.davis2@nih.gov or to the address below.

    Adam R. Davis, Ph.D.
    Cardiovascular Cluster
    Inherited Disease Branch
    National Human Genome Research Institute
    Building 10, Room 7N321
    Bethesda, Maryland 20892

    DHHS and NIH are Equal Opportunity Employers and encourage applications from
    women and minorities.

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