[Next-Generation Sequencing Book]
  • [Photo] Aimee Doe • December 1, 2014

    DESCRIPTION

    We are looking for a graduate student, with experience in machine learning and/or signal processing, as an intern to contribute to developing computational algorithms and methods for detecting copy number variation (CNV) in cancer, using next generation sequencing data. This is a part time paid internship for 15-20 hour per week. The position begins January 15th 2015 and ends July 15th 2015.

    RESPONSIBILITIES

    • Identify characteristics and limitations of current CNV detection methods
    • Assess features of an effective CNV detection method
    • Develop detection and noise cancellation algorithms
    • Develop code (programing)
    • Prepare reports

    REQUIREMENTS

    • Background in computer science, Electrical and Computer Engineering or Bioinformatics
    • Able to work in Linux environment
    • Working knowledge of programing languages such as R, MATLAB and/or Python
    • Experience in machine learning and/or signal/image processing
    • Basic knowledge of genomics
    • Experience in wavelet transforms and/or sparse signal processing is a plus
    • Familiar with raw NGS data (fastq and BAM files) is a plus
    • Strong communication and interpersonal skills
    • Motivated and self driven

    LOCALE

    Center for Biomedical Informatics, Harvard Medical School, Boston, MA

    HOW TO APPLY

    To apply please submit your resume and the names and email addresses of two references to Sheida_nabavi[at]hms.harvard.edu

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