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    Opportunity: Associate COMPUTATIONAL BIOLOGIST (#907) @ Broad Institute -- Cambridge, MA (US)
    Submitted by Laura Bonfitto; posted on Sunday, November 11, 2012

    OVERVIEW

    This is an exciting opportunity working under the direction of Broad Institute Fellow Mitch Guttman whose lab will be transitioning to Caltech in the summer of 2013. Candidates must be willing to relocate to California at that time.

    Our team recently described a new class of mammalian non-coding genes (lincRNAs) with important roles in human biology and disease. These lincRNAs exert their regulatory influence on the genome in uncharacterized ways. We are looking for a highly motivated individual to join our integrative computational and experimental lab to help develop computational methods to analyze and integrate various high throughput datasets. Specifically, the candidate will develop and optimize methods for computational analysis of high-throughput data to probe the function and mechanism of lincRNAs. This will include algorithms to analyze and integrate data from lincRNA-protein, lincRNA-DNA, and lincRNA-RNA interactions. The candidate will implement algorithms within an existing framework of sequence analysis tools developed in Java.

    RESPONSIBILITIES

    We are seeking a dependable and creative individual with scientific knowledge, superb statistical intuition, and excellent programming skills. The candidate will design and implement novel statistical methods and computational tools for the analysis of various distinct high throughput datasets. The candidate will have a unique opportunity to work with cutting-edge experimental datasets generated in the lab and will be an integral part of the data generation process through direct communication with experimental scientists to facilitate project completion, address technical problems, and helping to determine the methods to be used in research. The candidate will adapt easily to changing needs and priorities of a fast-paced research environment, facilitate project completion, address technical problems, determine the methods to be used in research, and summarize and present results.

    Characteristic Duties:
    • Designs and assists in developing statistical methods and computational algorithms for analyzing large-scale datasets that are essential to the overall project success.
    • Distills information into biologically relevant findings which are communicated to the team in writing and/or verbally.
    • Analyzes experimental data and identifies methodological problems. Adjusts existing algorithms to ensure project completion in a timely fashion.
    • Works directly with team leader to refine computational methods to ensure project completion in a timely fashion.
    • Works closely with experimental scientists to analyze and iterate through experimental data and designs.
    • Interacts directly with various scientists in the group to ensure project success.
    • Attends team meetings to share results, plan projects and experiments, and to ensure that projects support current team goals in a dynamic environment.
    • Maintains a detailed plan to ensure successful and timely completion of required tasks.
    • Consults with other senior scientists or scientific literature as needed.
    • Other tasks as required.

    REQUIREMENTS

    • Bachelor's or Master's degree in computational biology, mathematics, bioinformatics, computer science, statistics, or related quantitative field required.
    • Strong knowledge and interest in biology required.
    • Excellent skills in at least one programming language required, preferably Java.
    • Excellent background in statistics/biostatistics and data analysis required.
    • Excellent working knowledge of the Unix operating system.
    • Excellent communication skills and the ability to interact professionally with all levels of staff across different areas of expertise (both experimental and computational).
    • Excellent organization and time management skills.
    • Ability to handle a variety of tasks simultaneously required.
    • Must be able to use sound judgment to handle a variety of tasks and to shift priorities simultaneously, as well as to effectively solve problems.
    • Must possess a high level of initiative and the ability to work with little supervision.
    • Experience working in R or Matlab a plus
    • Prior experience working in biology-related sciences a strong plus
    • Experience with high-throughput sequencing data analysis a plus

    LOCALE

    Location : Broad Institute
    Country : United States
    State / Province : Massachusetts
    City : Cambridge

    NOTES

    Disclaimer: immediately upon transition of the Guttman Lab to Caltech, this position will formally terminate at the Broad Institute.

    HOW TO APPLY

    To apply, please go to: www.broadinstitute.org/care[...]enter

    Req #907

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