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    Integration Engineer - Austin, United States - Henderson Scott

    Henderson Scott
    Henderson Scott Austin, United States

    3 weeks ago

    Default job background
    Description
    AI Scientist
    Full Time
    Remote (US)
    Must be US Citizen/GC Holder

    I'm looking for an AI Scientist for an exciting AI/Digital Healthcare company.

    You'll be responsible for driving research and development by contributing your scientific knowledge as well as practice expertise in natural language processing (NLP) and information extraction (IE) technologies.


    Key Responsibilities:
    Develop custom NLP/IE pipelines to extract medical and healthcare information from unstructured sources

    Design and train custom deep neural networks for accurate detection of disease symptoms, signs, billing codes and related information in physician notes, EMR/EHR records, and other healthcare data.

    Design, implement, and evaluate online and federated learning AI systems for continuing training and refinement of NLP/IE pipelines and models.

    Provide key contributions to the development of novel AI methods to facilitate establishment of the company's competitive advantages and IP.

    Be actively engaged in scientific research and publication activities, including literature review, method development and evaluation, and manuscript writing.
    Constantly monitor state-of-the-art AI technologies and provide assessments of their suitability to the company's software applications.

    Skills & Attributes:
    PhD or Masters in Computer Science
    Solid knowledge of DL/MLNLP/IE Technologies
    Deep knowledge of and practical experience with designing novel sequential and transformer neural network architectures as well as transfer learning and tuning of LLMs and other pretrained models
    Experience in creating custom training datasets, including data collection, preprocessing, and augmentation.

    Nice to have:
    Experience with applying NLP techniques to unstructured medical sources
    Knowledge of biomedical ontologies, terminology, and controlled vocabularies.
    To apply - please contact Sam Shinner at Henderson Scott

    #J-18808-Ljbffr
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