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    Opportunity: Bioinformatics Research Position @ University of Tennessee -- Knoxville, TN (US)
    Submitted by Margaret Staton; posted on Tuesday, March 04, 2014

    SUMMARY

    Four years full time funding guaranteed plus full benefits. Opportunity to pursue a PhD while working as a full time employee. Please see this website to apply:
    https://ut.taleo.net/careersection/ut_system/jobdetail.ftl?job=47452&lang=en&sns_id=

    BACKGROUND

    The Department of Entomology and Plant Pathology, University of Tennessee Institute of Agriculture is seeking a bioinformatics research associate I. The lab is focused on genomics and bioinformatics research in agricultural species. Participation in an NSF-funded project for the development of genomic resources for North American hardwood tree species will be the initial focus for this position. The project requires extensive RNA sequencing data analysis and continued development of a plant genomics website to disseminate information and data generated by the grant. The position will encompass activities such as writing software pipelines to process raw sequences, working with other scientists to extrapolate meaningful results, integrating genomic data into databases, and building the user interface systems for scientists to view, download, search and manipulate the data. These genomic datasets are examples of the new wave of "Big Data", and of primary concern will be leveraging high performance computational resources for fast analysis and interpretation of large, complex datasets. The successful applicant will be exposed to interdisciplinary, cutting edge research in the arena of bioinformatics and will have the opportunity to expand their skill set and grow with this exciting field of science.

    RESPONSIBILITIES

    • Analyze, manage, integrate and interpret complex genomic data sets
    • Provide a variety of bioinformatic services including assembly and/or alignment of next generation sequencing data
    • Develop and maintain analysis pipeline code used to compare and analyze data; design and perform custom analyses as required.
    • Continue education in genomics and bioinformatics in order to propose and implement new concepts and technical solutions.
    • Contribute to the writing of scholarly publications
    • Develop websites that utilize a database back end to efficiently disseminate genomic data and analysis results.

    REQUIREMENTS

    • MS in bioinformatics, computer science and/or the life sciences (or equivalent experience) with agricultural background.
    • Proficient in a Linux operating system environment with minimal systems support
    • Demonstrated experience in PHP and/or Perl scripting
    • Experience with a database platform such as MySQL or PostgreSQL.
    • Excellent communication and problem-solving skills with superior English is preferred.
    • Ability to interact with scientists from diverse disciplines and backgrounds.
    • Ability to work independently, prioritize and manage a variety of tasks, and shift priorities rapidly.
    • Experience with analysis of next generation sequencing data.

    PREFERENCES

    • Work experience in the field of bioinformatics that has led to proficiency with genomic and transcriptomic next generation sequencing, especially de novo assembly methods.
    • Understanding of genomic data types including genetic maps, QTLs, physical maps, association maps.
    • Experience in web site development. Previous experience with Drupal or other CMS beneficial.
    • Experience performing statistical analysis on large biological data sets using a language such as R.
    • Experience with deploying and/or running software on high performance computational systems
    • Experience writing software or building software pipelines

    TERMS

    Regular full time position with benefits
    Pay grade 39

    LOCALE

    The University of Tennessee, Knoxville Institute of Agriculture, AgResearch

    HOW TO APPLY

    Required documents to apply: CV, transcripts, 2 professional references (upload as one PDF or DOC file)

    Please see this website to apply:
    https://ut.taleo.net/careersection/ut_system/jobdetail.ftl?job=47452&lang=en&sns_id=

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