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Migration activities: Scope definition based on analysis of existing business glossary, metadata catalog, and data connectors in EDC/Axon. Migration planning in a phased approach following prioritization defined by client project lead.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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The role of an HR Data Visualization & Governance Analyst is essential to the HR Reporting and Analytics team. Utilize HR data and analytics expertise to impact business decisions, establishing an HR competitive advantage for our diverse retail brands, supply chain, and shared services customers.
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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
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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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The MassHealth Systems Teams unit seeks a highly motivated individual as a Quality Assurance Tester to join its Data Warehouse Systems Quality Assurance (SQA) team. Experience with data quality and remediation, data flows and mapping, or comparable experience (system or Data conversions, for example.
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Apply your topical knowledge and experience in one or more of the following: Quality, Risk Adjustment, Provider Data, Healthcare Data Interoperability, Value-based Care, Population Health, and/or Clinical Operations/Medical Cost Management to drive data solutions product innovation.
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Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. Job Description Part Time Data Entry Computer Job - Work from Home Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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We are seeking a Principal Scientist to join the Data Science unit at our Cambridge, MA office to develop and leverage innovative computational biology algorithms supporting translational research use of Caris’ large-scale multi-omics data.
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Notice to Agency and Search Firm Representatives: Catalent Pharma Solutions (Catalent) is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Catalent employee by a third party agency and/or search firm without a valid written & signed search agreement, will become the sole property of Catalent.
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Proficient in integrating experimental data into Laboratory Information Management Systems (LIMS) to ensure accurate and efficient data management and accessibility is preferred. Demonstrate a proven track record of efficiently collating, analyzing, visualizing, interpreting and communicating complex data sets using a repertoire of digital tools.
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Architect, design, develop and maintain data engineering solutions primarily utilizing Python, SQL and Apache Spark based platforms. Experience with Big Data platforms such as Databricks is a plus.
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Research is supported by the National Heart, Lung, and Blood Institute, American Society of Nephrology and the BWH Khoury Innovation Fund. Under the supervision of the Principal Investigator and research staff, the Research Analyst Intern will conduct analyses with and develop pipelines for various types of omic data as well as clinical datasets from epidemiologic studies and clinical trials.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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