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This individual will be primarily responsible for the quality of the data ingested into the data lake (Duke Data Hub) and the data deidentification processes in the Federated Clinical Analytics Platform (FCAP), including providing quality assurance oversight of the data pipelines and REST APIs developed by the Data Partnerships Data Engineering team and Duke's FCAP partner.
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This includes performing analytical methods, data review and trending, and implementation of GMP operational support systems ensuring a compliant Quality Control lab. Support operational systems (equipment/instrument maintenance/calibration, equipment alarm monitoring, sample handling/tracking, data integrity/control, cGMP documentation, LIMS, laboratory audit, and method training.
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10+ Years of demonstrated data engineering experience, utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way. Implement data quality automation and tooling to ensure data integrity.
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This individual will be primarily responsible for the quality of the FHIR-based content stored within client's Enterprise Analytics Platform, in addition to providing quality assurance oversight of the data pipelines and REST APIs developed by the Data Engineering team.
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U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings.
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Use advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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In this role you will serve as product owner for multiple scrum workstreams including responsibility for developing technical and product definitions, and partnering closely with Engineers and Program teams across the Onyx organization, AI/ML, and a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few.
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Use Excel, SQL, and data visualization tools such as Power BI to analyze and aggregate data generated by Self-Help's programmatic activities. Work with DPI colleagues in fundraising, investor relations, compliance, policy, impact assessment, and community engagement to ensure that data systems, analyses, and reports are adequately serving their needs and work with Self-Help's Data Intelligence Group (DIG) to optimize them.
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We have a particular interest in studying value-based care, identifying practices—-care delivery models, payment and incentive structures, optimized team structure, integrated behavioral health, workforce configurations, workflows, and data analytics that improve the delivery, quality, safety, accessibility, equity, and affordability of high-quality primary care.
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The role will involve working in industry leading automation systems including Emerson DeltaV, Siemens Desigo and OSI PI. By integrating these systems together, projects in areas of business intelligence, analytics, and data visualization can take place.
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Primary Skill: Data Modeling, SQL, Snowflake, AWS, Hadoop, ERD/ Data Modeling, OBIEE, Power BI. Understanding of different database platforms (e.g. Oracle, Snowflake, Hadoop, Microsoft SQL Server) usages (OLTP Recordkeeping, ODS, MDM, Warehousing, and Data Lakes.
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Support metadata management and data quality analysis processes. FFIO (Fidelity Funds & Investment Operations) is actively seeking an expert data architect to help us deliver our next generation data platforms as the organization migrates its operational workloads to the public cloud.
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Synthesize and analyze program data and drive quality improvement processes. Data collection and reporting: Develop and sustain a Durham County Opioid Overdose Prevention Data Dashboard, in coordination with the Durham County Department of Public Health Data Scientist, to improve data infrastructure and monitor emerging trends.
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Data modeling, quality, analysis, profiling (working experience with any data quality tool, SAS, Ataccama, Informatica Data Quality, Talend, OpenRefine) Accountable for the quality control (through validation and verification) of mapping specifications to be industrialized by data engineering and maintained in platform provisioned tooling – e.g., models, schemas, controlled vocab.
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Experience with Epic, Clarity data warehouse, Cognos, Oracle SQL Developer, and Tableau preferred. Requires current Epic Clarity Data Model certification or the ability to complete certification(s) within 6 months of employment, except where otherwise negotiated.
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data quality jobs Title: data architect Company: Bank Of America in Durham, NC
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