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Job Segment: Quality Assurance, Data Entry, Welding, Fabrication, Coating, Technology, Administrative, Manufacturing. For Machine division QA: Experience with Printed Circuit board manufacturing processes, power electronics, powder and epoxy coating systems, automated testing of electrical products, gas and diesel engines; non-conformance inspection, data entry and analysis.
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Create, refresh, communicate and implement enterprise data management concepts such as data governance, data quality, master data management, metadata management and lifecycle management.
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Proficiency in using data management tools and platforms, such as data cataloging software(e.g., Collibra, Alation), data quality tools (e.g., Informatica, Talend), and data governance platforms (e.g., IBM Data Governance, SAP Data Intelligence.
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Lead the implementation of a scalable data operations framework that enhances data quality, improves speed of data integrations, and provides standardization across AbbVie Collab brands.
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AXIS System Development and Implementation: Pioneer the development, testing, and deployment of AI and data-centric solutions tailored for the AI X-Ray Inspection System, focusing primarily on quality determination using X-Ray examinations.
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Data Strategy - Understanding of business value and relevance of data and data enabled insights / decisions; Appropriate application and understanding of data ecosystem including Data Management, Data Quality Standards and Data Governance, Accessibility, Storage and Scalability.
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3 - 6 years of direct experience in Ai modeling, data engineering, and image processing especially in contexts related to X-Ray imaging or related fields. Data Management & Retrieval: Design and manage database structures specific to VISS and AXIS, ensuring efficient storage, quick retrieval, and system-wide compatibility for image data using languages and tools such as Python, SQL, and relevant image processing libraries.
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Our proprietary manufacturing systems result in inventoried iCell products and donor-specific Custom Products in the quantity, quality, purity, and reproducibility required for drug and cell therapy development.
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Complete (weekly) data entry using Los Angeles County Department of Public Health- Substance Abuse Prevention and Control’s data entry system, ECCO in compliance with Substance Use Disorder (SUD) Primary Prevention Data Quality Standards established by Department of Health Care Services (DHCS.
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The QA Manager will support Civica's quality and regulatory technology implementation and ensure the software and applications comply and adhere to regulatory expectations, such as 21 CFR Part 11, data integrity, current Good Manufacturing Practice (cGMP) guidance documents, and GAMP5.
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The Trauma Registrar is committed to high-quality data abstraction, meets both quality and productivity standards, detailed, and works well to ensure deadlines are met. With quality, service, and integrity as our core values, we specialize in quality staffing for hospitals nationwide with a focus in Trauma Registry.
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The QA Manager is responsible for software quality oversight of system validation and verification efforts supporting areas that include ERP, QMS, RIM/Submission, serialization, computer-related instrumentation, equipment, and any future GXP-related software applications.
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This position will perform data analysis tasks and support the development of data tools as part of project teams that serve clients with the U.S. Environmental Protection Agency and other government agencies in the areas of drinking water protection, climate resilience, and surface water quality management.
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Drinking Water & Water Quality Data Analyst. Complete analysis of raster and vector geospatial data using ArcGIS software and the Python programming language. Experience retrieving and analyzing large environmental data sets and geospatial data layers, such as climate, land use, demographic, ecological, hydrologic, or water sampling data.
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Assist in the development and maintenance of tools for viewing and analyzing water and climate related data, including developing ArcGIS Online or Power BI products. Primary responsibilities will include (but are not limited to): compiling environmental, demographic, and public health data and documenting data sources; data cleaning using R or Python; summarizing data and performing statistical analysis; performing geospatial analysis using ArcGIS software; developing data visualizations; and documenting analysis methods and findings.
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data quality jobs Title: developer Company: Cybercoders
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