[Next-Generation Sequencing Book]
  • [Photo] Waksman Institute • May 14, 2012

    BACKGROUND

    Waksman Genomics Core Facility is seeking a highly motivated and talented Bioinformatics scientist to our group at the Waksman Institute of Microbiology, Rutgers University, New Jersey, USA. Initial appointment will be for one year with an opportunity to extend further based on the performance. Reporting to the Genomics Laboratory Supervisor, this position is responsible for managing data analysis pipeline from the high-throughput sequencer SOLiD 5500xl. The analysis entails assessing the quality of the data, processing of the data through appropriate analysis pipelines, determining the quality of the analysis and whether further analysis should be done, and assembling results for researchers. Consults with researchers on experimental design related to data analysis, develops new pipeline analysis techniques and communicates project updates and results to researchers.

    RESPONSIBILITIES

    Main Responsibilities:
    • The successful candidate will develop and implement computational algorithms and statistical analysis pipelines using next-generation sequencing data.
    • Evaluate published bioinformatics tools and resources for analysis and interpretation of genomic data.
    • Present results through clear and concise representation of ideas and concepts to other team members and the management.
    • Manage multiple independent projects under tight deadlines.

    REQUIREMENTS

    Essential Requirements:
    • Ph.D. in Bioinformatics, Computational Biology, or related discipline
    • Strong programming and scripting skills (eg; Perl, Python, Ruby, Java, C++, XML, using MySQL Server; and efficiency in Linux/Unix operating systems)
    • Knowledge in one statistical language (S/R/SPSS/MATLAB/Octav) and some machine learning concepts
    • Have good communication skills, strong team-work spirit with self-learning abilities
    • 2+ years of experience in Bioinformatics data analysis tools and databases

    PREFERENCES

    Desirable:
    • Knowledge about gene regulatory networks and graphical models
    • Experience in analysis of genome, transcriptome, epigenome and other genomic datasets

    LOCALE

    Piscataway, NJ

    COMPENSATION

    Competitive

    HOW TO APPLY

    hr[at]waksman.rutgers.edu or dk[at]waksman.rutgers.edu

    DEADLINE

    June 30, 2012

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