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Responsibilities include but, are not limited to: · Work across functional areas to assess oncology reporting requirements, determine the optimal visualization strategies, and then collect, analyze and present quality improvement data for purposes of Institute-wide program evaluation, management/decision-making, clinical quality improvement, and regulatory compliance.
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Our unique tools and services organize, store, and optimize content, including taxonomy, rights and asset management, analytics, and quality assurance. Strong understanding of PCI/PII security and data privacy requirements.
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Focus on migration work from mainframe to cloud through proof of concepts and be part of the strategic planning, data conversions and building in of quality. Ability to envision and execute large scale migrations and data conversions with built in quality.
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Support state capacity to improve maternal health and address maternal health disparities through quality services, a skilled workforce, enhanced data quality and capacity, and innovative programming that aims to reduce maternal mortality and severe maternal morbidity.
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The Gage Calibration Technician role is a key support function of the Quality Department and the plant. The Company's end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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Support the integration of Geomatics accuracy and integration checking capabilities in the quality assurance capability for quality assurance and the related training materials and process documentation to evaluate contractor, commercial and co-produced data.
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As part of our Data Governance, Quality and Operations team, you’ll focus on using advanced frameworks, data integration and machine learning tools to deliver scalable data operations while establishing trust and integrity in data at the point of use.
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Analyze and interpret complex data to provide insights into reaction kinetics, impurity profiles, and critical quality attributes. Your advanced analytical skills will be essential in ensuring the quality, purity, and safety of our products, as well as driving process improvements to enhance efficiency and yield.
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Understand healthcare data, including clinical data in both proprietary and industry-standard formats (HL7) Able to map and implement data standards such as SNOMED CT, RXNorm, LOINC, UCUM, ICD, CPT, CVX, etc Understand the “dirtiness” of clinical data and seek out ways to improve conformance and quality.
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Contribute to or act as the Middle and Large Commercial Data Steward, monitoring data quality, evaluating the completeness and strategic soundness from a business perspective of any requested warehouse enhancements.
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Incorporate core data management competencies including data governance, data security and data quality. Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
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Support 1m IFP members through tightly managing vendor data quality and timeliness; ensure data is ingested into CREW to drive submissions; any and all CREW validation errors are worked timely to ensure submission completeness; analyze and understand digital retrieval to maximize results; customize ACA reporting views and outreach manager data needed for day to day operations work.
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Incorporate core data managementpetencies including dataernance, data security and data quality. Build and operationalizeplex data solutions, correct problems, apply transformations, and rmending data cleansing/quality solutions.
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Oversee the data conversion lifecycle, including data mapping, transformation, cleansing, and validation to ensure high-quality data migration. - Experience with state and federal data quality standards and compliance regulations relevant to child support information technology systems.
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Coordinates continuous unit improvement by: coaching, mentoring, precepting, and developing staff; coordinating unit activities (e.g. meetings, assignments, in-service); analyzing quality performance data and identifying performance/quality improvement opportunities and investigating recurrent CMU problems through literature research.
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data quality jobs in Hartford, Arlington, Tennessee
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