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    Opportunity: Senior Computational Scientist @ JAX Genomic Medicine -- Farmington, CT (US)
    Submitted by Tyler Chukwu; posted on Wednesday, August 30, 2017

    Submitter

    BACKGROUND

    About The Jackson Laboratory for Genomic Medicine: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, JAX-GM is conveniently located midway between NYC and Boston in the heart of Connecticut's growing bioscience industry. Our mission at JAX-GM is to discover the complex causes of disease, develop diagnostics and therapeutics, and ultimately empower the global medical community.

    JAX-GM is part of an exciting, internationally-recognized research and educational institution with unparalleled genomic resources and research support services. Seeking to advance personalized medicine, we draw on the institution's distinguished history and on the innovative expertise of our growing faculty, who are recruited from among the world's top scientific labs and institutions.

    About the position: 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 his lab's exciting research, visit the Lee Lab online at .

    APPLY NOW @ bit.ly/2iGyjPr

    KEY 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
    • 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
    APPLY NOW @ bit.ly/2iGyjPr

    ABOUT US

    MORE ABOUT JAX: JAX (www.jax.org) began in 1929 with a small group of scientists dedicated to the emerging field of genetics. We now have over 1700 scientists, technicians, and support staff, including over 50 Principle Investigators in five primary disease areas: cancer, reproductive biology, immunology, metabolic processes and neuroscience. Our fundamental contributions to biomedical research include cancer genetics and establishing the mouse as the premier research animal model.

    POLICY

    EEO: The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

    HOW TO APPLY

    APPLY NOW @ bit.ly/2iGyjPr

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