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Develop collaborative partnerships with Clinical Operations, Pharmacovigilance, Data Management, Biometrics, Medical Writing and Regulatory Affairs leadership to maintain a current understanding of potential areas of quality risk exposure across all studies.
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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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A Senior Principal Mechanical Engineer develops and implements sound and innovative solutions to overcome difficult problems while considering quality, cost, schedule, and performance. Creation of Technical Data Packages (TDPs) using Geometric Dimensioning and Tolerancing (GD&T) for RF products.
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The Department of Quality and Patient Safety (QPS) supports Dana-Farber Cancer Institute’s mission to reduce the burden of cancer at Dana-Farber and beyond by educating, inspiring, measuring, improving, and innovating to advance quality across the cancer care continuum.
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Master Data Management / Data Quality Management / Governance Collibra, Atacama, Alation, Reltio etc. Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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We are bridging OT (operational technology) and IT (information technology) to provide data-driven optimization of facility performance in liquid-related processes (e.g., changeovers, cleaning/flushing, Clean-in-Place optimization, real-time product & ingredient QA/QC, wastewater optimization.
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We are seeking a dedicated Data Analyst to join our GTM Analytics team and play a vital role in uncovering valuable insights about our customers and user engagement across our product portfolio.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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Experience in a biotechnology or pharmaceutical company, with 10+ years of direct involvement in analytical development and/or quality control of protein biologics. This individual will be responsible for overseeing key deliverables in analytical development such as method development, assay qualification, release/stability, in-process assays, in-use stability methods, quality control, and quality assurance aspects of Spyre’s pre-clinical & clinical biologics product candidates while partnering with other Tech Ops development groups and quality assurance.
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Experience with statistical data analysis using R or JMP, monitoring data quality and troubleshooting technical problems. Analyze workflows, identify bottlenecks, develop solutions and lead teams in solution implementation that improves efficiency, throughput, cost, and quality.
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5+ years’ experience in data analytics on (Microsoft SQL Server, Redshift, HQL) Partner with Development Leads for refining and enhancing our Data architecture, Pipeline development, Automation, and planning.
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We are looking for a Data Engineer and/or Data Scientist who can work with complex data, focused, but not exclusively, on working with data from the National Internet Observatory (nationalinternetobservatory.org), a large, NSF-funded project.
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This is an exciting new opportunity for a Test/QA Engineer with experience testing the following systems and sub-systems: data network and communication system, mechanical and electronic systems, EO/IR and RADAR sensors systems, or Security and Surveillance systems.
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The Digital Quality Lead will provide key quality expertise to establish pragmatic compliance controls supporting selection of data platforms, establishment of global data architecture, implementation of data governance tools at scale, enabling data science capabilities, and responsible design/development/deployment and use of AI enabled solutions.
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Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data) Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense.
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data quality jobs Title: quality analyst Company: Arjo in Cambridge, MA
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