[Next-Generation Sequencing Book]
  • [Photo] CII • October 26, 2018

    BACKGROUND

    The Center for Infection and Immunity (cii.columbia.edu) in the Mailman School of Public Health at Columbia University – one of the world's most advanced academic centers for research in infectious disease surveillance, diagnosis and discovery in acute and chronic illnesses – has an opening for an experienced Sr. Programmer Analyst on the bioinformatics team to develop pipelines to analyze large-scale protein microarrays for immune response studies and investigate next generation sequencing (NGS) datasets for pathogen discovery. The successful applicant will join a dynamic, state of the art research laboratory at Columbia University and a global network of researchers who work on projects related to infectious disease surveillance and discovery in humans and wildlife, host response to infections, microbiome research and large-scale studies on chronic fatigue syndrome/myalgic encephalomyelitis and neurodevelopment disorders.

    RESPONSIBILITIES

    Essential Functions:
    • Bioinformatics support for protein array analysis – 50%
    • Bioinformatics support for projects related to microbial detection and discovery – 25%
    • Database management – 10%
    • Server hardware management – 5%
    • Contribute to publications and research grants – 5%
    • Perform other related duties as assigned – 5%

    REQUIREMENTS

    The candidate is expected to demonstrate the following skills and experience:
    • Experience in bioinformatics, statistics, microarray and/or NGS data analysis
    • Proficiency with writing high-quality code for pipelines to analyze very large datasets
    • Advanced working knowledge of NGS experimental design, data quality control, mapping and alignment software, normalization and clustering methods
    • Basic knowledge of genetics and molecular biology with practical knowledge of genomic databases from major bioinformatics resources such as NCBI and EMBL
    • Proficiency in Unix environments with high performance clusters
    • Familiarity with multi-threading tools, resource management and optimization for parallel processing of very large datasets
    • Advanced working knowledge of scripting languages Python, R, Shell and/or Perl (proficiency is desirable) in an academic or industrial environment
    Minimum Qualifications:
    Requires a Bachelor's degree in bioinformatics or computer science and at least four years of experience in bioinformatics.

    Preferred Qualifications:
    Master's degree with at least two years of related experience. Three years of experience in bioinformatics, statistics, microarray and/or NGS data analysis. Two plus years of experience with scripting languages Python, R, Shell and/or Perl. An applied mathematics/statistics/biostatistics background. Knowledge of statistical and machine learning techniques is a plus.

    HOW TO APPLY

    Apply online at the Columbia University Jobs Website: https://jobs.columbia.edu/applicants/Central?quickFind=171540

    POLICY

    Columbia University is an Equal Opportunity/Affirmative Action employer.

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