[I, Librarian]
  • [Photo] Tyler Chukwu • November 21, 2016

    BACKGROUND

    A position is available immediately for a Senior Computational Scientist to join the lab of Dr. Charles Lee at the Jackson Laboratory for Genomic Medicine. The research focus of the lab is in the area of structural variation in the human genome and association with human phenotype and disease. This position offers the opportunity to make leading contributions to cutting edge research in human genetics, disease biology, and translational research.

    For more on Dr. Charles Lee and the exciting research happening in the Lee Lab, visit: https://www.jax.org/research-and-faculty/research-labs/the-lee-lab

    RESPONSIBILITIES

    • Develop new algorithms / pipelines for studying SVs in the human genome.
    • Data analysis through established algorithms / pipelines to study genome structural variation and its contribution to human disease and genome evolution.

    REQUIREMENTS

    Required Skills:
    • Creativity and eagerness to learn new technologies and science
    • Enthusiasm for working in a dynamic, high-performance research team environment
    • Strong communication skills
    Minimum Qualifications:
    • A Ph.D. in bioinformatics, computer science, biostatistics or any relevant field of study
    • Demonstrable aptitude and expertise in the niche areas of genome variation and/or cancer genomics
    • Solid publication track record
    • Proficiency in programming (Python, Java, C++) and statistical analysis (R, MATLAB)
    • Experience in UNIX-like operating systems and high-performance computing environments
    Desired Experience:
    • Demonstrable leadership in previous research projects
    • Experience with applications for external research funding
    • Track record of developing algorithms and tools in the area of genome variation and/or cancer biology
    • Familiarity with large datasets from big consortium projects such as TCGA/ICGC/ENCODE and 1000 Genomes
    • Experience in High Throughput Sequence (HTS) data analysis, microarray data analysis, data integration or evaluation of new analytical tools and technology

    LOCALE

    Farmington, CT

    HOW TO APPLY

    Apply directly on our site – URL: http://bit.ly/5938-CompSci

    POLICY

    EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.

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