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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Shape future advances in combination product manufacturing, electro-mechanical instrumentation and robotic operations blending core capabilities including materials science, systems engineering, data analytics, advanced imaging systems, and cutting-edge robotic technologies.
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Coursework or minor in information systems, software engineering, computer science or data and analytics preferred; experience with data analysis tools and techniques such as Alteryx or Power BI preferred.
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Expert level programming skills in Python, R, TensorFlow, or other data science environment; robust. The Director of Data Science, Patient Safety, will leverage their technical and product management expertise to drive our AI innovation to revolutionize the way CVS Pharmacy fills prescriptions.
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Lead development of mixed signal circuits (microcontroller/FPGA/power conversion/analog) for embedded controllers to serve mission critical industrial and life science applications. Expertise in circuit simulation, schematic capture, BOM creation, and PCB layouts using OrCAD (with EDM) or similar CAD software with integrated design data management capabilities.
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Under the direction of the Clinical Laboratory Supervisor,#this position is responsible performing#various chemical, microscopic, and or bacteriological tests to obtain data used in diagnosis and treatment of patients.
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Master’s Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor’s Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
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The qualified candidate will report to the Head of Clinical Data Science and is expected to have the following responsibilities:· Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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As a key member of our Private Equity sector team, you will help private equity backed companies and their Sponsors navigate the complex world of modern data management, data engineering, data science, analytics, and emerging technologies.
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Machine Learning, Data Science, and statistical modeling experience are highly valued. BA/BS in Computer Science, Engineering or related technical field such as Statistics or Data Science.
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Education: Possession of a bachelor's degree in Environmental Engineering, Civil Engineering, Chemical Engineering or a related science field. engineering plans and specifications; the ability to perform basic and less complex environmental engineering field investigations; the ability to use common word processing, spreadsheet, email, presentation, and data management software and related equipment; the ability to apply accepted engineering principles and regulatory requirements to solve less complex environmental problems within the scope of assignments; and related capacities and abilities.
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HNN is developed and disseminated with support from the National Institutes of Health in the lab of Dr. Stephanie Jones in the Center for Computational Brain Science and Department of Neuroscience at Brown University.
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DE writing complex T-SQL/PLSQL queries and scripts to insert and extract data into/from large data sets within relational database environments (DB2, Oracle, Sybase, and MSSQL); and writing stored procedures to insert and maintain data.
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IT Qualifications At least two of the following: Bachelor of Engineering – Computer Science, Bachelor of Technology – Computer Science, Master of Computer Application CompTIA A+, Microsoft Certified Professional (MCP) or better.
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Proven experience in applying Data Science methodologies to extract, process, and transform data from multiple sources. Stay abreast and evaluate the latest in AI research and technologies and determine how to incorporate these into our data science best practices.
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data science jobs in Cumberland, RI
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