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Are you an experienced MDS nurse interested in the next step?
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Use data science tools to improve data reliability, efficiency, and quality. Working Knowledge of data pipeline and ETL tools (Apache Airflow, Databricks, Apache NiFi, Azure Data Factory, etc.
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Axle is seeking a Data Engineering - Data Quality to join our vibrant team at the National Institutes of Health (NIH) supporting the located in Rockville, MD. We are looking for a skilled and motivated Data Quality expert to lead the development of Real World Data (RWD) assets to support projects at the NIH. The position will be based at Axle in Bethesda, Maryland, but functionally remote from US locations, with occasional travel annually.
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Drives code quality, automation, DevSecOps / Data Ops for multiple Contact Center ARTs and contributes towards successful delivery of work. Accountable for engineering and development of high-quality data solutions aligning to the architectural design and business needs with a keen eye towards reusability of code assets, consistency in engineering practices and scalability of data pipelines.
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Monitor for and report on data quality issues from Data Sources or within the HIE. Proficiency in tools and technologies used in data quality, including Excel and other Microsoft products.
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We are currently seeking a Data Technical Lead (Apache Spark, Pyspark and Databricks) to join our team in Dallas , Texas (US-TX) , United States (US). Proven experience as a Technical Lead with a focus on Databricks and big data technologies on Azure Cloud Platform.
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Developing test automation and enabling DevOps through continuous testing Working knowledge of AWS based data sources such as Aurora Postgres, Redshift, Athena, AWS Glue, DMS Services to deliver strong Quality solutions An Agile mindset with experience working in Agile environment.
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Under the direction of the Revenue Cycle Education Leadership team, Revenue Cycle Quality Assurance Specialist will assist in data collection, data analysis, reporting, coordination of projects, assist in implementing processes, and communication of efforts.
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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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The COPS Data Quality Analyst in the Research, Analysis, Planning, and Innovation Division (RAPID) will collect, analyze, and interpret data to support research initiatives, most notably the De-escalation Tracking Project.
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Collaborates with Data Management, Clinical Development, Clinical Operations, Drug Safety, Statistical Programming, and Biostatistics to develop standard and custom data reports for quality data oversight / clinical data review.
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Responsible for performing quality inter-rater review audits of medical records coded by internal team (CDQA and Sr CDQA) to ensure the. Required to act in ethical manner at all times as required under HIPAA's Privacy and Security rules to handle patient data with uncompromised adherence to the law.
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Minimum 6 years of work experience in working in data management disciplines including but not limited to, data architecture, data quality, data design and modeling, data warehousing, data integration, and business intelligence and analytics.
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Proactively provide Good Pharmacovigilance Practice (GVP) support for clinical and commercial activities to protect patient safety and well-being, maintain data integrity, and support implementation of Quality Systems.
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Make your mark for patientsWe are looking for a Health Economics Outcomes Research & Real World Evidence Data Scientist who is intellectually curious, a strong collaborator, and strategically analytical to join us in our Data Management, Insights and Analytics Team, based in our Atlanta office in Georgia, United States.
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data quality jobs Title: developer Company: Deloitte
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