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2 years of relevant experience in value-based care / quality improvement roleAnalytical skills necessary to analyze and interpret routine data. Ensure accurate data collection, reporting, and submission to payers for quality programs.
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Build processes to help identify and improve data quality , consistency and effectiveness. Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources.
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DataAnnotation is committed to creating quality AI. Join our team to help train AI chatbots while gaining the flexibility of remote work and choosing your own schedule. Note: Data Annotation payment is made via PayPal. We will never ask for any money from you.
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In your activities, you will focus on GMP Investigations and CAPA’s, change management, batch release and batch record reviews, site Quality audits and data integrity audits to support PETNET’s Quality oversight functions.
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Lead cross-functional teams on data analysis and quality improvement projects. Manage & interact routinely with Genflex Production Manager, Pre-Press Manager, Bindery Manager, and manufacturing associates as need be, to establish quality standards for raw materials, work in process, best practices, and finished products.
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Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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Job DescriptionJob DescriptionQuality Coding SpecialistCINQCAREPosition Description OverviewThe Quality Coding Specialist will work closely and report to the department manager of risk adjustment ith accountability for providing strategy, judgment, organization, and evidenced-based analysis to influence decisions, and directly to meet CINQCARE requirements.
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The Data Architect will work closely with the Program Manager, Cloud Solutions Architect, data engineers, and data analysts to support multiple public health project teams in their full data management cycle including data ingestion, data cleansing, data transformation, data security, data exploration, and data visualization using Microsoft Azure tools and technologies.
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Strong proficiency in data visualization tools (e.g., Tableau, Power BI, and others) Expert in SQL development for both data modeling and ad hoc querying Experience in data modeling and supporting tooling such as dbt or sqlmesh Experience using cloud-native data warehouse solutions such as Snowflake or Databricks Experience managing a team of analysts, with a demonstrated ability to lead and develop talent.
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Very Good understanding in Data Foundation initiatives, like Data Modeling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
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Solid experience implementing data lineage, data quality and data observability for big data workflows. Design and develop data quality frameworks and processes to ensure the accuracy and reliability of data.
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Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Developing and deploying machine learning pipelines using Vertex AI and Kubeflow for data processing, feature engineering, model training, evaluation at scale in production on GCP ensuring data quality, integrity, and security.
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Experience with protein purification, molecular biology, biochemistry and/or cell-based experimental techniques is required, with a preference given to researchers with experience with assay development and high-throughput screening, high-content imaging, and/or pharmacological concepts/data analysis.
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data quality jobs Title: director integration in Atlanta, SD, France
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