University of Massachusetts Medical School

  • Senior Data Scientist

    Minimum Salary US-MA-Worcester
    Job Location 1 month ago(1 month ago)
    Requisition Number
    2017-29794
    # of Openings
    1
    Posted Date
    Day
    Shift
    Exempt
    Exempt/Non-Exempt Status
    Non Union Position -W60- Non Unit Professional
  • Overview

    GENERAL SUMMARY OF POSITION: 

    It’s an exciting time to be at UMass Medical School!  U.S. News & World Report ranks UMass Medical School in the top 10 percent nationwide in primary care, and this opportunity gives the right candidate the chance to be part of an elite academic and research institution that is among the most affordable in the country.  As a member of our Information Technology Department, you will join a dynamic team of dedicated individuals committed to delivering forward thinking solutions with a focus on continuous improvement. At UMass Medical School IT we recognize and reward independent thought and innovative ideas. We have fostered an environment where the team dynamic is embraced and collaboration and FUN are core components of our culture! 

     

    Under the general direction of the Associate Chief Information Officer or designee, the Data Scientist is responsible for modeling complex clinical and research problems, discovering insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large varied datasets, designing specialized database and computing environments, and presenting results. Data Scientists work closely with clients, project/program managers, and other IT teams to turn data into actionable information and knowledge that can be used to make sound organizational decisions. Core traits include creative thinking, innovative proposals, and expert data mining techniques. They will need to validate their findings using an experimental and iterative approach.  In addition, he/she will perform diverse and complex duties in a manner consistent with a dynamic and active biomedical education and research community.

    Responsibilities

    MAJOR RESPONSIBILITIES:

    • Envision and deliver information systems solutions in alignment with the Medical School's strategic and tactical business plans.
    • Identify efficient tools for business and clinical application design and development. Incorporate technology tools where appropriate
    • Participate in the oral presentation of all project findings and abstracts including participation in periodic project status meetings and presentation of final project deliverables.
    • Prepare informational/educational materials for users and train clinical researchers in the use of analytical datasets.
    • Conduct advanced data analysis and complex design algorithms
    • Work with IT teams to support data collection, integration, and retention requirements based on requirements.
    • Make strategic recommendations on data collection, integration and retention requirements incorporating knowledge of best practices
    • Develops innovative and effective approaches to solve analytical problems and communicate results and methodologies.
    • Validate analysis using various modeling techniques.
    • Identify/create appropriate algorithms to discover patterns in complex datasets.
    • Partner with the data stewards to define data quality expectations.
    • Develop usage and access control policies in collaboration with the data stewards
    • Perform other duties as assigned.

    Qualifications

    REQUIRED QUALIFICATIONS:

    • MS in Computer and/or Data Science, Informatics, a related field, or equivalent experience
    • 5 years of experience in development and implementation of technologies preferably for an academic research organization.
    • Proven experience with clinical and clinical trial data
    • Experience working in a scientific research environment
    • Strong interpersonal and communication skills required.
    • Demonstrated ability to provide documentation.
    • Ability to communicate effectively in writing.

    PREFERRED QUALIFICATIONS:

    • Ph.D in Computer Science/Data Science/Informatics
    • Experience with clinical data

    Additional Information

    *LI-MR1

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