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This individual will be primarily responsible for the quality of the data ingested into the data lake (Duke Data Hub) and the data deidentification processes in the Federated Clinical Analytics Platform (FCAP), including providing quality assurance oversight of the data pipelines and REST APIs developed by the Data Partnerships Data Engineering team and Duke's FCAP partner.
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Data modeling, quality, analysis, profiling (working experience with any data quality tool, SAS, Ataccama, Informatica Data Quality, Talend, OpenRefine) Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab.
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Use Excel, SQL, and data visualization tools such as Power BI to analyze and aggregate data generated by Self-Help's programmatic activities. Work with DPI colleagues in fundraising, investor relations, compliance, policy, impact assessment, and community engagement to ensure that data systems, analyses, and reports are adequately serving their needs and work with Self-Help's Data Intelligence Group (DIG) to optimize them.
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We have a particular interest in studying value-based care, identifying practices—-care delivery models, payment and incentive structures, optimized team structure, integrated behavioral health, workforce configurations, workflows, and data analytics that improve the delivery, quality, safety, accessibility, equity, and affordability of high-quality primary care.
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10+ Years of demonstrated data engineering experience, utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way. Implement data quality automation and tooling to ensure data integrity.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Experience with Epic, Clarity data warehouse, Cognos, Oracle SQL Developer, and Tableau preferred. Requires current Epic Clarity Data Model certification or the ability to complete certification(s) within 6 months of employment, except where otherwise negotiated.
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In collaboration with Senior Automation Engineer and/or Associate Director, Automation, support the installation and validation of a PI data historian for the commercial manufacturing facility. Strong knowledge of GMP quality systems.
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Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user-facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and multi-omics applications.
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This includes responsibility for the understanding and translation of computational methods back through the data chain to maximize the quality and speed of data from source to drive experimental multi-variant analysis and data driven decision-making.
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Flexibility for domestic and international travel· Spanish language fluency is a plusDesired general experiences or exposures through completed classwork or work experience include hydrologic, hydraulic, watershed and/or reservoir model set up, calibration, and assessment/interpretation; spatial, time series, and generalized data collection, organization, quality assurance, and interpretation; and project documentation and report writing.
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Support metadata management and data quality analysis processes. Experience with preferred cloud data technologies such as Oracle, Snowflake, PostgreSQL, GoldenGate, PowerBI/Tableau.
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Collaborate with other development teams to provide support for activities and work diligently with cell line development and analytical development functions to understand how the process impacts product quality.
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Experience working with data environments and strong knowledge in querying language and/or querying applications (SQL, Alteryx, BRIO) You strive to better communicate data through data visualization and storytelling.
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To be responsible for Epidemiological studies within a large program or group of related programs (led by a senior epidemiologist) within the context of the GSK Vaccines process in order to ensure the high quality and on-time delivery of all epi data that will allow and support world-wide registration in compliance with the clinical and epi development plan, applicable good practices, and GSK Vaccines standard operating procedures (SOP.
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data quality jobs Title: developer Company: Teksystems in Durham, NC
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