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  • Prostate Cancer Computational Biology Team Lead

    Position: Prostate Cancer Computational Biology Team Lead
    Site: MaRS Centre, Toronto
    Department: Informatics & Biocomputing
    Reports To: Dr. Paul C. Boutros
    Salary: Commensurate with level of experience
    Hours: 35 Hrs/week
    Status: Permanent, Full-time


    The Ontario Institute for Cancer Research (OICR) is seeking a Team Leader, Bioinformatics to lead and coordinate a team of computational biologists working on the CPC-GENE project. CPC_GENE is an International Cancer Genome Consortium (ICGC) project dedicated to whole genome-sequencing of 500 prostate cancers, along with matched normal samples, as well as methylome and transcriptome profiling. Each patient has rich clinical annotation, and the ultimate goal is to create and validate a set of clinically-useful prognostic markers. This will include primary analysis of mRNA and DNA microarrays, analysis of second (ABI SOLiD and Illumina Hi-Seq) and third (PacBio) generation sequencing data. The position is located at the Ontario Institute for Cancer Research (OICR), which provides a highly collaborative environment of biologists, computer scientists, and statisticians focusing on similar problems. Analysis of these data will be performed on cutting-edge IT infrastructure including a multi-petabyte storage system and a 3,500-core compute farm.

    Responsibilities include:
    • Developing and leading a team of junior statisticians, bioinformaticians, and developers;
    • Interfacing and coordinating with genomic, clinical, and bioinformatic research groups;
    • Developing frameworks for analysis and integration of diverse –omic datasets;
    • Manuscript and grant-writing;
    • Statistical and bioinformatic analysis of –omic datasets.

    QUALIFICATIONS
    The ideal candidate will have:
    • A PhD in computational biology, engineering, mathematics, computer sciences or molecular biology with 3+ years experience in genomic computational biology;
    • A strong statistical background;
    • Expert-level skills in software and database programming (R, Perl, SQL);
    • Knowledge of biological sequence algorithmic and analysis tools;
    • Experience leading multi-person analysis teams strongly preferred;
    • Strong knowledge of molecular biology. Knowledge of cancer biology is an asset;
    • Team-player, interested in working in a fast-paced and highly collaborative environment with biologists, computer scientists, statisticians, and clinicians.

    OICR is an innovative cancer research institute located in the MaRS Centre in the Discovery District in downtown Toronto. OICR is addressing significant challenges in cancer research with multi-disciplinary, multi-institutional teams. New discoveries to prevent, detect and treat cancer will be moved from the bench to practical applications in patients. The OICR team is growing quickly. We are innovative, dedicated professionals who bring expertise to each of our roles. We are looking for individuals interested in being part of a culture of excellence that will result in Ontario being recognized internationally as a leading jurisdiction for cancer research. Launched in December 2005, OICR is an independent institute funded by the Government of Ontario through the Ministry of Research and Innovation.

    For more information about OICR, please visit the website at www.oicr.on.ca.

    POSTED DATE: January 31, 2011
    CLOSING DATE: February 28, 2011

    Interested candidates may apply here


    OICR has a diverse workforce and is an equal opportunity employer.

    The Ontario Institute for Cancer Research thanks all applicants. However, only those under consideration will be contacted. Candidates will be expected to provide their current employer as a reference.

    Resume Format: If you elect to apply, you will need a text or HTML version of your resume so that you can cut and paste it into the application box provided. Before you submit the completed application, you will be asked to attach one or two files to your application. Please attach your resume as a .doc or a .pdf file.

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