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Manages the QA Analyst(s), Quality Review Coordinator, Stroke Coordinator, Sepsis Coordinator, IC Coordinator. Provides leadership and supervision of the Medical Staff Quality & Peer Review process to ensure timely identification, primary, secondary and committee level review of cases is conducted and reported to the PPEC, MEC and Board, as appropriate.
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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Further agile and DevOps practices to ensure efficient and high-quality data engineering processes. Mentor, lead, and train other members of the data engineering team. Lead the design of data governance policies and procedures.
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Accountable for execution of quality control testing and supportive processes including sample /inventory management, scheduling, documentation, compliance review, results reporting (CoA), and scientific interpretation of data / method performance to ensure high quality data and control of immunoassay and bioanalytical methods.
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Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation - JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong understanding of data governance, data quality, and data security principles. Title: Data Quality Engineer. Ensure data quality and integrity by developing and implementing data validation and testing strategies.
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Lead resolution of data quality issues, conceive of practical approaches to address challenges, and delivery teams to bring envisioned solutions to fruition. Collaborate with data insights and population health team, and other Contexture teams, to advise on best practices for utilizing clinical workflow knowledge and data standards as it relates to HIE data quality and delivery.
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Expertise in some of the following leading data and analytics technology stacks, such as Azure (ADF, Functions, Event Hub/Grid, Streaming, Synapse), AWS (Kinesis, Firehouse, Glue) Snowflake, DBT, Databricks, Informatica, DBT, Denodo.
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Lead large transformations for former employers and has evolved & matured current Master Data Management, Data Governance, Data Architecture, Data Quality, Enterprise Data Management, and Data Design practices.
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Ensures that data center problems are identified and repaired quickly, that contractors deliver quality services, and that internal customer demands are met. Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
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Data Governance: Knowledge of creating data lineage, developing metadata and developing data quality standards for the group. Understanding of data governance frameworks, policies, and best practices to ensure data quality, integrity, and compliance.
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Under direct supervision, perform basic complexity calculations, modeling, and data analysis for water resources projects with a particular focus on riverine and coastal floodplain analyses though hydrologic and hydraulic modeling, risk assessment, and/or hazard mitigation.
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Data Management: Implement data management best practices, including data governance, data quality, and data security. As a Senior Data Engineer in Research IT, you will play a critical role in supporting Research Foundational Data Products including CoreReg, Substance Mart, DARE and Asset Mart. You will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and enabling data-driven decision-making processes.
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Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more. Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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data quality jobs Title: operations lead Company: Cdm Smith
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