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Delray Beach

    Data Scientist - Delray Beach, United States - ClinDCast

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    Description
    Responsibilities:
    • Create NLP applications for medical data.
    • Develop databases for NLP entities.
    • Apply text representation techniques.
    • Evaluate and train models.
    • Architect end-to-end Java solutions.
    • Implement NLP algorithms and tools.
    • Conduct statistical analysis.
    • Expand ML frameworks for NLP.
    Requirements:
    • Experience in Clinical NLP.
    • Proficient in Java programming.
    • In-depth knowledge of healthcare domains.
    • Familiarity with ontology tools.
    • Demonstrated success as an NLP Engineer.
    • Competency in Python and SQL.
    • Exposure to ML frameworks.
    • Strong analytical abilities.
    This is a remote position.

    Empowering the Future of Healthcare

    The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.

    ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.

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