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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Under the direction of the Information Leader, the Data Quality Analyst - Senior interacts with business stakeholders, gathers information, analyzes business and technical requirements, develops, tests and implements data-oriented solutions, in accordance with firm policies and procedures.
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The ideal candidate will have experience/expertise in the development, execution, and management of data collection and data quality review for clinical/health outcomes research studies, clinical trials, and/or digital health research studies.
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Prepare data for model training, validation, and testing using data cleaning, transformation, augmentation, and visualization techniques to improve data quality and utility for AI and ML models.
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The Data Integration Specialist partners with our client external integration teams and our internal operations and client facing teams to ensure that our product data needs are met with quality and efficiency.
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Data quality surveillance of CRF and external/non-CRF clinical trial data (e.g. Biosample Lab Data, Biomarker Data, Imaging) in collaboration with other Clinical Operations roles, Medical Monitors, Translational Medicine, Clinical Pharmacology, Biostatistics, and other internal and external stakeholders.
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Collaborates with Clinical Operations, Data Management, Clinical Development, Drug Safety, Statistical Programming, and Biostatistics to develop standard and custom data reports for quality data oversight / clinical data review.
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Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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1 position) Under direction of the Water Quality Laboratory Manager, assists in various laboratory and field operations, such as distribution system and reservoir water sampling, sample receipt and data entry in LIMS, bottle set-up, glassware/general house cleaning, reservoir algae investigations and treatments and additional miscellaneous water quality tasks.
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Ensures the quality of clinical data within the EDC and other databases through regular data review and external data reconciliation processes and communicates any outstanding issues to the cross-functional teams.
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Implement and manage continuous integration and continuous testing practices, emphasizing ETL job automation, SQL query validation, and Snowflake target validation for ongoing data quality and reliability.
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The Sr. Supplier Quality Engineer shall support the business in the areas of Supplier Project Management for assigned commodities, Supplier Assessments, Supplier Performance Improvement, Technical Data Interpretation/Analysis (engineering drawings, specifications, technical publications, purchase orders, etc.
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The ideal candidate will have in-depth experience in cell therapy, with specialized expertise in CAR-T therapy, solid tumors, leading a data management function, and expertise using Medidata Rave. This role encompasses the management of external Contract Research Organizations (CROs), acting as a Subject Matter Expert (SME) for all data management activities, and ensuring the highest data quality and integrity across the clinical operations organization.
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data quality jobs Title: developer Company: Deloitte
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