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Job Description:Use industry leading data science and artificial intelligence (AI) practices to deliver on Intermountain Healthcare's mission to 'Help people live the healthiest lives possible'; making healthcare more affordable and higher quality; and making a difference in the patients and communities we serve.
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Existing areas of strength at the University of Utah and VA Salt Lake City Health Care System include biomedical informatics, clinical and population health, decision support systems, medical decision-making and patient preference assessment, survey research and measure development, data science, mixed methods, genomics, addiction medicine, neuroepidemiology, and infectious diseases.
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Proficiency in Python, R, and data science libraries (scikit-learn, TensorFlow, PyTorch, etc. This role requires a strategic and innovative leader with strong technical expertise in data science, artificial intelligence (AI), and machine learning (ML), capable of driving impactful solutions across both scientific and business functions.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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S degree in Clinical or Medical Laboratory Science, Medical Technology or in the chemical or biological sciences; and ASCP or AAB certification as MLS or MT. In the Cellular and Innate Immunology laboratory, the Medical Laboratory Scientist III (NYQ) performs testing methods including Flow Cytometry, Cell Culture Technique, Multiplex Bead Assay, Chemiluminescence, ELISA, and Radioimmunoassay.
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Knowledge of data science, AI, networking technologies (especially network security), and machine learning/artificial intelligence. The candidate must hold a degree in electrical engineering or computer science, with a JD degree and admission to the USPTO being mandatory.
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Technical experience in business intelligence, data warehousing and analytics; including architecting data for modern cloud-based analytical solutions as well as working with data ingestion, data engineering, data provisioning, data visualization, data science teams.
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Provide military science instruction and training and field instruction and training in accordance with Cadet Command's program of Instruction (POI), syllabus, and other ROTC-directed or emerging training in various settings on and off campus, to include field environments.
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The ideal candidate will be responsible for designing, developing, and enhancing our python data science tools and frameworks. We are seeking a talented and self-motivated Quantitative Researcher to join our growing data science efforts.
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Graduate degree in Management Information Systems, Business Administration and Management, Business Analytics and Information Systems, Statistics, Mathematics, Computer Science, Physics, Economics or a similar degree.
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OR- Graduate degree related to computer science, geography, GIS, remote sensing, or physical / biological / environment / natural resource discipline with substantive coursework in geospatial analysis and modeling, and three (3) years of work experience in geospatial analysis and programming.
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Minimum 2 years of management and leadership experience Knowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM) Limited immigration sponsorship may be available Preferred Technical skills: Data Science / Analytics using a multitude of data sources.
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The candidate will be resp Data Scientist, R&D, Support, Data Science, Scientist, Manufacturing, Technology, Skills. Description bioMerieux is a fast growing and profitable biotech company with a great opportunity for a Data Scientist.
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Experience with modern data warehouse and data lake solutions such as Databricks or Snowflake is highly preferred. Proven experience with large-scale data warehouse/data lake solutions such as Databricks, Snowflake, or similar platforms.
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Leads geospatial data science teams in the application of remote sensing/geospatial technologies, approaches and methodologies to address natural resource applications including change detection, monitoring, extraction and classification of information from multispectral imagery, radar, LiDAR, etc.
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data science jobs Company: John Deere in Salt Lake City, UT
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