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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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Provide advice to security administrators on normal and exception-based processing of security authorization requests including the use of system integration or product vendor tools that monitor system use and data access irregularities.
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Excellent knowledge of Python, Spark, and T-SQLHands-on experience on crafting and developing scripts for ETL processes and automation in Azure data factory, Azure Databricks and PySparkGood understanding of data modeling and ability to apply different techniques within a cloud platform.
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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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Desired – Microsoft® Certified: Azure Solutions Architect Expert or Azure DevOps Engineer Expert or Azure Developer Associate. Desired – Prior experience working with API Integration platform using IBM DataPower, Azure API Management and Mulesoft Anypoint Platform.
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Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability. Experience with data visualization tools (e.g., Spotfire) and advanced analytics techniques (e.g., machine learning) is required.
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The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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We are seeking a highly motivated and capable Data Scientist to support Tempus NEXT, an AI-enabled care pathway intelligence platform that applies technology, data, and AI to enable precision medicine, empowering providers to tailor the next step in a patient’s care journey and foster value based care within health systems.
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Main Purpose: The Senior Cloud Architect – Azure Solution Architect plays a pivotal role in shaping our cloud strategies and solutions. Azure Solution Architect Orbia - Global Functions, is hiring for an Azure Solution Architect in India.
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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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Gather detailed technical and functional requirements and configure applications using Archer Architect, design & implement GRC solutions in RSA Archer. Serve as the technical and functional expert on the QUMAS EDMS(Electronic Document Management System-Enterprise Content Management, Industry Document control, Batch Data Management.
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Top must-have skills: Minimum 8 years of related experience Data Mesh, domain-driven design Data, Object modeling Database/Data warehouse - AWS RDS, Snowflake, AWS Redshift Nice-to-have skills: Previous biotech/ pharma experience Master Data Management and Governance Big Data, Data Analytics TOGAF, Architectural frameworks (TOGAF is an architectural framework like ZACHMAN, UAM, others) Share.
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Experience with Function apps (AWS Lambda or Azure Functions)Experience with modern python web applications/apis (Flask, Django)Familiarity with cloud services (AWS, Azure, Google Cloud) and their data-related offerings Proven ability to architect and manage scalable, high-availability database systems.
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The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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integration architect data jobs Title: data modeler Company: Dice in Medford, MA
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