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Responsibilities: Conduct site initiation, interim monitoring, and close-out visits to ensure protocol compliance and high-quality data collection. Perform source document verification, query resolution, and data review at study sites.
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Utilizing entry-level knowledge, abilities, skills and available resources, provides safe, high quality, efficient and cost-effective patient-centric care and support services under routine or emergent conditions in a variety of care settings to include, but not limited to; acute inpatient facilities, outpatient physician practices, diagnostic/urgent care centers and remote statewide outreach clinics.
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The Data Integrity and Management team builds integrations, infrastructure pipelines and tools to import key MLS, Property, Schools and School Ratings, climate data as well as other inventory data that have made Redfin the most trusted real-estate site in the US. The RoleAs a Sr Software Engineer you will work on Redfin’s data ingestion platform creating new data pipelines and tooling to help keep Redfin’s inventory updated faster and higher quality than our competitors.
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If you understand product design, manufacturing, have CAD drafting experience, you can manage data in a PLM system and develop an engineering change management program, then you will be a good fit.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Job Title: Assistant/Associate Scientist in Cell TherapyJoin our client's Critical Reagent Management team, focusing on data quality, high productivity, and teamwork. Proficiency in ELISA, qPCR, ddPCR, and flow cytometry.
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FUNCTION/GENERAL SCOPE: The Senior Data Analyst gathers requirements, develops and prepares information and analyzes health care discharge data, quality, and financial data from conceptualization through dashboard delivery to our members.
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Design, build and maintain scalable and future-proof tech foundations to manage data collection and data quality. product, data scientist, UX, compliance) to continuously improve comprehensive measurement.
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You will be leading the development and maturity of data governance policies and procedures ensuring data quality, integrity, and security for HR. You will partner with HR, Enterprise Technology, Legal, and Compliance teams to ensure compliance with data governance policies as data flows between HR systems and data analytics platforms and deliverables.
$188,451 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Quality management tools (e.g., TFS, TestDirector, SpiraTest, TestRail, HP-ALM (QC to organize and manage all phases of the software testing process including planning, running tests, and tracking defects.
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Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality. Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices.
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Sustain ongoing process for data collection and ensure continuous revision of individual and/or unit level education plan related to quality and safety education for nurses, (e.g. falls, infection prevention, new equipment, regulatory changes, accreditation/certification.
$66.3 an hourFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Ability to conduct high quality, quantitative analyses of climate-related data and corporate strategy processes with a strong attention to detail. Outstanding academic performance in an undergraduate or Master's degree (preferably with experience in finance, data science, climate, sustainability, business, public affairs or related fields.
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Maintaining and reviewing cGXP records, managing quality events, data trending, and overseeing QC bioassay analysis activities. Troubleshooting assays and assisting lab members in ensuring high-quality experimental execution and data recording.
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Partner with data science team to evolve modeling based on business needs and provide data validation and quality assurance support to ensure the accuracy and reliability of promotional elasticity models.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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data quality jobs in Burien, WA
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