• [Photo] Zhongming Zhao October 25, 2015

    BACKGROUND

    Two postdoctoral positions are available in Dr. Zhongming Zhao's Bioinformatics and Systems Medicine Laboratory (BSML, http://bioinfo.mc.vanderbilt.edu) at Vanderbilt University Medical Center. The successful candidate is expected to join an established bioinformatics team. The ongoing projects in BSML focus on precision medicine, functional roles of genetic variants in complex disease, next-generation sequencing data analyses, and regulatory networks. Integrative genomics and systems biology approaches are often applied. Funding is available to support this position for up to three years. The candidate will have the opportunity to access many high throughput datasets and interact with Vanderbilt Medical Center investigators. The lab has an excellent post-doctoral training track record (e.g. 12 former postdocs are currently faculty members, two received Young Investigator Awards from national foundations, and three were finalists for the Vanderbilt Postdoc of the Year Award). Recent publications:

    Jia P, Jin H, Meador CB, Xia J, Ohashi K, Liu L, Pirazzoli V, Dahlman KB, Politi K, Michor F, Zhao Z*, Pao W* (2013) Next-generation sequencing of paired tyrosine kinase inhibitor-sensitive and -resistant EGFR mutant lung cancer cell lines identifies spectrum of DNA changes associated with drug resistance. Genome Research 23:1434-1445

    Cheng F, Jia P, Wang Q, Lin CC, Li WH, Zhao Z (2014) Studying tumorigenesis through network evolution and somatic mutational perturbations in the cancer interactome. Molecular Biology and Evolution, 31(8):2156-2169

    Jia P, Wang Q, Chen Q, Hutchinson K, Pao W, Zhao Z (2014) MSEA: detection and quantification of mutation hotspots through mutation set enrichment analysis. Genome Biology 15:489

    Zhao Z, Xu J, Chen J, Kim S, Reimers M, Bacanu SA, Yu H, Liu C, Sun J, Wang Q, Jia P, Xu F, Zhang Y, Kendler KS, Peng Z, Chen X (2015) Transcriptome sequencing and genome-wide association analyses reveal lysosomal function and actin cytoskeleton remodeling in schizophrenia and bipolar disorder. Molecular Psychiatry, 20(5):563-72

    Vanderbilt's Department of Biomedical Informatics (http://dbmi.mc.vanderbilt.edu) is the largest academic department of biomedical informatics in the country, with more than 42 primary faculty members, an NIH/NLM supported graduate training program, and a portfolio of research and development projects that spans from computational biology and bioinformatics applied to the understanding of biological molecules, through advanced clinical information systems that care for hundreds of thousands of patients at Vanderbilt, to regional health information projects that span many states. Vanderbilt University School of Medicine ranks top 10 in NIH funding.

    REQUIREMENTS

    The qualified candidates should be highly motivated in research and have a Ph.D. in bioinformatics, quantitative science, computational biology, molecular biology, or related field upon the job start date. The successful candidate should have some experience in analyzing high-throughput genomic data and proven skills in at least one programming language (Perl, Java, or C/C++). Good understanding of genetics or molecular biology and familiarity with biostatistics are plus. For more information, please visit our web site http://bioinfo.mc.vanderbilt.edu.

    TERMS

    Up to 3 years

    LOCALE

    Nashville, TN, USA

    COMPENSATION

    NIH standard or based on experience

    HOW TO APPLY

    Applicants should send a CV, brief statement of research interests, and reference to:

    Zhongming Zhao (zhongming.zhao[at]vanderbilt.edu)
    Ingram Professor, Chief Bioinformatics Officer
    Vanderbilt-Ingram Cancer Center

    DEADLINE

    Available until being filled.

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