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Requisition Id 16125 Overview: We are seeking a Healthcare Data Analyst who will serve as a subject matter expert (SME) in healthcare data management, statistical design and analysis, and reporting
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coupled with artificial intelligence, applied mathematics and statistical sciences with an emphasis on applications relevant to the DOE mission space. This position is within the Mathematics in Computation
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development of novel AI algorithms, it does require strong implementation skills, sound statistical judgment, and an ability to translate methods into reliable, maintainable, and well-documented pipelines
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and technology solutions for national security sponsors. Major Duties and Responsibilities: Lead and execute complex R&D efforts applying data science, machine learning, and statistical methods
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Qualifications: PhD and 2+ years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field. Experience with multi-modal learning across modalities
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of the infrastructure. Proactively monitor, test, collect and analyze system performance statistical data to improve quality of the network environment. Diagnose and resolve complex configuration and troubleshooting
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of the trained models to determine underlying processes that govern the given data. This job offers an excellent opportunity to conduct exceptional and innovative research in mathematics, statistics and scientific
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environmental datasets for use in geospatial web applications. Collaborate with research scientists and stakeholders to integrate existing statistical models into application code and develop new features as
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for this position should have a background that would enable them to use a variety of reliability analytics or performance monitoring tools such as causal analysis, statistical analysis, value stream mapping, FMEA
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, statistical, probabilistic, or algorithmic solutions to real world problems in the healthcare and biomedical research. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has