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The ideal candidate will have a strong background in data analysis and quality assurance, with proven experience in managing data in a clinical or similar setting. Assist in data gathering and reporting for Atlantic Health System’s ACO and requests received from health plans regarding HEDIS measures and other required metrics.
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Assist with quality review of DMPK reports that are generated by DMPK scientists by fully reviewing the raw data outputs/electronic notebooks and ensuring validity and quality of reported data in the reports, in addition to reviewing DMPK regulatory documents, editing of nonclinical study reports for regulatory acceptance and adherence to company templates, SOPs, DMPK/BA methods, work practices and FDA GLPs, as applicable.
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Enterprise scale knowledge of data management best practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality.
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Preferred certifications: AWS Certified Solutions Architect, Databricks Certified Data Engineer, or similar certifications. Develop and maintain data integration workflows to ingest, transform, and load data from various sources into Databricks and AWS data storage solutions.
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Prior experience in medical claims data sets (IMS, SDI, Symphony, Flatiron) is a plus, as is prior marketing research experience. Agility, Brand Awareness, Cross-Functional Collaboration, Customer Engagement, Customer Experience, Customer Insights, Data Strategy, Digital Marketing, Go-To-Market Strategy, Influencing Skills, Inspirational Leadership, Marketing Strategy, Media Campaigns, People Management, Product Marketing, Product Roadmap, Return on Investment (ROI), Stakeholder Engagement, Stakeholder Management, Strategic Marketing.
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Incorporate core data management competencies including data governance, data security and data quality. Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
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Leads the local process owners for Quality Systems (deviation, capa, change control, data integrity, training, risk management, and audits). Directs quality oversight of compliance and quality systems activities including Quality Risk Management, Data Integrity, Training, Audits and Inspections, Document and Records Management and Site Quality Council.
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Our unique tools and services organize, store, and optimize content, including taxonomy, rights and asset management, analytics, and quality assurance. Strong understanding of PCI/PII security and data privacy requirements.
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The PCB (Printed circuit board) Quality Engineer is responsible for managing design and production relationships to ensure product integrity and continuously improve manufacturing performance and customer satisfaction throughout the life cycle of Nuclear Medicine products.
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Net, SQL Server/SSIS/SSAS Reporting tools Angular / React Azure DevOps Visual Studio Azure DataBricks, Data Factory Domain experience : Working knowledge of Investment Securities Trading, Operations, Compliance workflows & Analytics) Designed and developed the applications using Agile Scrum methodology.
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Work closely with the software engineering team in development and deployment of both automated production systems and scientist-driven data analysis platforms Provide guidance on experimental protocol design geared toward powering data insights, including scale and quality thresholds Develop novel computational methods for analyses of multi-omics data; identify gaps in existing methods/tools and develop novel solutions to bridge them.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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data quality jobs Company: Saxon Global in Morris, NJ
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