The Jackson Laboratory

  • Scientific Software Engineer

    Job Locations US-CT-Farmington
    Posted Date 1 week ago(2/13/2020 2:11 PM)
    Job ID
    2020-27622
    Category
    Biostatistician, Computational Scientist, Scientific Software Engineer 
  • Summary

     Scientific Software Engineer (Associate/Full/Senior)

    Data Science Focus

     

    Come join the development team of the JAX Clinical Knowledgebase (CKB).  CKB is a dynamic digital resource for interpreting complex cancer genomic profiles and is used by clinicians and researchers from around the world to connect cancer variants to therapies and clinical trials.  Come be a part of the fight against Cancer!

     

    This position is available immediately for a Scientific Software Engineer (Associate/Full/Senior) with a large focus on data science, as a part of the Computational Sciences Scientific Computing group at The Jackson Laboratory for Genomic Medicine in Farmington, CT.  Play a pivotal role in investigating potential integration opportunities as well as helping to lead the effort to translate those opportunities into mature software solutions.  Use your skills to propose, analyze, prototype new solutions as well as run novel analysis over the existing systems.  Leverage NLP, ML and AI to develop novel approaches to help streamline curation as well as add additional value to existing data. This is an exciting opportunity to work on challenging problems at the interface of biology, computer science and data science.  CKB is a leading cancer knowledgebase, with partners around the world integrating CKB data, join the team and help push CKB to the next level.

    Responsibilities

    • Help lead efforts to evaluate opportunities for integrating data and enabling CKB to synergistic link to relevant data
    • Analyze existing highly structured and semi-structured data and look for opportunities to add additional value
    • Prototype and lead R&D around leveraging NLP, ML and AI for empowering curation workflows and ensuring CKB can efficiently structure complex cancer data

    Qualifications

    The ideal candidate will have:

    • A BS, MS or PhD in computer science, bioinformatics, biology, or significant related experience
    • A strong molecular biology background will be a big plus
    • Strong knowledge of Linux and Mac environments
    • Languages: Java, Groovy, Python, JavaScript, SQL, R and Machine Learning
    • Database: MySQL, noSQL
    • Experience with operational tools such as Git, JetBrains IDE products (PyCharm, Idea), CI Tools such as Jenkins or Bamboo, Atlassian Suite
    • Excellent oral and written communication skills
    • Strong desire to work collaboratively with peers

    About Us

    The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,200 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center, a genomic medicine institute in Farmington, Conn., and facilities in Ellsworth, Maine, Sacramento, Calif., and Shanghai, China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

     

    JAX Genomic Medicine is transforming medicine by improving patient care, lowering costs, and increasing life span and health span. JAX Genomic Medicine’s research focuses on the complex genetic causes of disease and on the development of genomic solutions tailored to each person's unique genetic makeup.

     

    JAX Genomic Medicine sits on a 17-acre site on the campus of the University of Connecticut Health Center. The 183,500-square-foot facility opened in the fall of 2014. Now, it houses over 300 biomedical researchers, technicians, and support staff in state-of-the-art computing facilities and laboratories.

     

    In Connecticut, JAX resides in the scenic town of Farmington, in the state’s capitol region. The Hartford region, which offers some of the best public schools in the country, is made up of both bigger cities and smaller, charming historic New England towns.  JAX Genomic Medicine is also geographically located within 2 hours of Boston and New York and is close to multiple transportation systems, including bus lines, highways, railroads and international airports.

    JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients’ lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 “Best Places to Work in Academia” in the United States in a poll conducted by The Scientist magazine!

    Our Values:

    INTEGRITY - Courage and commitment to do what is right

    PEOPLE - Inspiring our people to enhance the health of all

    ONE TEAM - Unified by our promise to transform medicine and science

    EXCELLENCE - Achieving world-class results

    INNOVATION - Leading with discovery and creative solutions

    STEWARDSHIP - Caring for and enhancing the resources entrusted to us

     

    What do we have to offer?

    JAX offers a dynamic and supportive work environment, competitive salaries, and a comprehensive benefits package, including a medical plan, outstanding retirement plan, generous paid time off, and tuition reimbursement including an MBA program. Our campus offers a fitness center with an award-winning wellness program and an onsite full service cafeteria.

    Most importantly, every position contributes to JAX’s mission of discovering precise genomic solutions for human disease and empowering the global biomedical community in our shared quest to improve human health.

     

    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.

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