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    Data Science Intern - Los Angeles, United States - Cedars-Sinai

    Cedars-Sinai
    Cedars-Sinai Los Angeles, United States

    2 weeks ago

    Cedars-Sinai background
    Description
    Grow your career at Cedars-Sinai

    The Enterprise Information Services (EIS) team at Cedars-Sinai understands that true clinical transformation and the optimization of a clinical information systems implementation is fueled through the alignment of the right people, processes, and technologies.

    Why work here?

    Cedars-Sinai Medical Center has been ranked the #1 hospital in California by U.S. News & World Report, When you join our team, you'll gain access to our groundbreaking biomedical research facilities and advanced medical education programs. We offer learning programs, tuition reimbursement and performance-improvement projects so you can achieve certifications and degrees while gaining the knowledge and experience needed to advance your career.

    We take pride in hiring the best, most hard-working employees. Our dedicated doctors, nurses and staff reflect the culturally and ethnically diverse community we serve. They are proof of our dedication to creating a dynamic, inclusive environment that fuels innovation and the gold standard of patient care we strive for.

    What will you be doing in this role:

    The Data Scientist Intern delivers analytical solutions using programming, data-mining, statistics, machine learning, and visualization techniques. Responsibilities include querying databases, data processing, supervised and unsupervised machine learning, deploying production models, and communicating findings. Writes clean, performant, reusable code to perform repeatable analyses and to train and deploy models to multiple environments.
    • This internship is primarily focused on Generative AI and LLM's.
    • Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL).
    • Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
    • Performs exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
    • Works with senior or lead data scientists' business partners to identify areas where data science can best deliver value.
    • Tests and validates code to ensure adaptability of data applications.
    Experience Requirements:

    Current enrollment in Undergraduate or Graduate Program in Analytics, Data Science or Computer Science. Coursework in databases, programming, and/or data analysis.

    Zero (0) to Two (2) years of professional experience in healthcare or pharmaceutical industries working with electronic medical record data, preferably Epic Software.

    Experience programming at an intermediate skill level with a high level programming language such as R or Python. (College projects may be acceptable)

    Experience programming at a basic to intermediate proficiency level in SQL.

    Experience in healthcare machine learning is helpful.

    Educational/Certification Requirements:

    Bachelor's degree in Computer Science, Machine Learning, Applied Mathematics, Economics, Statistics, Physics, or related field.

    Master's degree preferred.
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