• Data Scientist - Urology

    UCLA Health (Los Angeles, CA)


    Description

    Drive Impactful Healthcare Research Through Data

     

    Science and Analytics

     

    The David Geffen School

     

    of Medicine at UCLA, Department of Urology is seeking a full-time Data

    Scientist to support transformative research initiatives that improve healthcare

    delivery and population health. This role is ideal for professionals who

     

    combine programming, statistical expertise, and domain knowledge to solve

     

    complex problems and guide data-informed decision-making.

     

    As a key member of our

     

    research team, you'll work with faculty and staff to analyze large healthcare

     

    datasets, build predictive models, and communicate insights that shape clinical

     

    practice and policy.

     

    We're looking for

     

    someone who thrives in a collaborative, fast-paced environment, brings

     

    strategic thinking and technical expertise, and is passionate about using data

     

    to improve lives.

    Join us in shaping the

    future of healthcare through data science and innovation. Apply today and

     

    become part of a dynamic team at the forefront of population-health research.

     

    Hourly Salary Range: $33.96

     

    - $69.54

    Qualifications

    Required:

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    Bachelor's degree in Statistics/Computer

     

    Science/Bioinformatics/Data Specification/ Data Science/Computational or

     

    equivalent combination of education and experience.

     

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    1-2 years of experience in Statistics/Computer

     

    Science/Bioinformatics/Data Specification/ Data Science.

     

    *

     

    Knowledge of basic and multivariate statistics.

     

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    Knowledge of research design.

     

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    Competency in statistical software applications (e.g., R, SAS,

     

    STATA).

     

    *

     

    Ability to conceptualize and construct tables and graphs.

     

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    Working knowledge of statistical and/or medical terminology.

     

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    Ability to summarize statistical analyses for collaborators.

     

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    Knowledge of statistical techniques.

     

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    Ability to utilize database management software to run queries and

     

    extract data.

     

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    Ability to construct databases.

     

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    Ability to produce visual tools and dashboards that highlight the

     

    essential information from a project or study.

     

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    Knowledge of basic office software and applications (e.g.,

     

    Microsoft Office Suite, Google, Internet search engines, etc.).

     

    *

     

    Ability to learn new statistical techniques and to adapt existing

     

    code to customize statistical analysis strategies.

     

    UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person’s unique achievements and experiences to further set us apart.