• Data Scientist, Sr.

    Job ID 2018-28501
    Area of Interest
    Information Technology
    Location Name
    818 Stewart
    FTE/Hours per pay period
    1.0 FTE (80 hours per bi-weekly pay periods)
    Work Status
    Regular
    Department
    Research Informatics
    Shift
    Day Shift
  • Overview

    Join our Bioinformatics Delivery Team! Using traditional bioinformatics applications combined with modern BigData technologies, our team enables the Institution to better leverage high throughput genomics analyses to improve patient care and accelerate translational research.

    As a Sr. Data Scientist you'll work with developers, analysts, scientists, clinicians, and business owners in a team-driven, agile environment to develop and scale data science results and products. Work alongside clinicians to develop algorithms and models to solve critical health care needs, and provide input into driving business and clinical operations and quality improvement with advanced analytics. Dive deep into vast repositories of structured, unstructured, and streaming data to find the input for models. Create tools and libraries that can leverage products for efficient use across the enterprise and beyond.

     

     

    Requirements

    Required Education/Experience:
    - Bachelor’s degree or higher in a STEM or relevant analytical field that demonstrates analytical and technical competency and 5+ years as a Data Scientist or Senior Data Analyst OR a Ph.D. in a STEM or relevant analytical field that demonstrates analytical and technical competency and 2+ years or relevant work or applied research experience in data science
    - Highly skilled in statistics as well as machine learning/data mining/etc.
    - Significant experience developing and using statistical models and algorithms to drive business or clinical value
    - Advanced experience in least one data science language (e.g., R, Python)
    - Expert in use of data visualization for non-technical audiences
    - Experience with at least one notable BI reporting tool (e.g., Tableau, QlikView, PowerBI, Business Objects, html/d3)
    - Experience working with source control tools and version management
    - Experience in data extraction using SQL
    - Experience as a member of a delivery team supporting integrated data science products and solutions for a wide range of customer groups.

     

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