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Familiarity with simulation and data analysis tools for finite element, thermal, vibration, and stress analysis (Solidworks Simulation, Creo Mechanica, ANSYS) As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications.
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Oversees set-up and maintenance of study systems which may include Clinical Trial Management System (CTMS), Trial Master File (TMF), study SharePoint etc. The CES Ops portfolio is dynamic in nature; study types include, but are not limited to, less complex data transfer agreements, retrospective sample/data acquisition studies to more complex prospective studies including sample/data acquisition, biomarker/technology/method validation, genotypic/phenotypic call back studies, and challenge/screening studies.
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Master Data Management: Oversight the establishment and maintenance of core master data sets to be established to support pharmaceutical lifecycle from development to commercialization partnering with related functions to ensure a building in model to support all eQMS systems and evolving Global GMP capabilities and awareness for data management and records retention.
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Strong knowledge of data architecture and master data management. Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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Handle Google Cloud Storage inorder to use the storage service efficientlyRole as GCP Architect and SME in multiple projectsRepresent in client meetingsRespond to RFPs providing the solution Arch. Min one year Experience in Architecting applications for Google Cloud platformExperience in Architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTableWork with Google Cloud SQL to handle the user data/ client data.
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Extensive hands-on experience with Apache Spark, Kafka streaming for large-scale data processing and analytics. Good experience and understanding of operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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PM: Define and build analytical use cases for data mediation platform in telecom domain. Architect: Developing resolutions to complex problems, using judgment to recommend platform choices, develop methods, techniques for handling billions of record from Data Mediation for analytical processing.
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In this site-facing lead role, you will partner with the Global Lilly Unified Lab (LUNA) program to deliver milestones across multiple workstreams such as Product Delivery, Master Data Management, Integration to Site Manufacturing and Quality Systems, Instrument Connectivity, and Organizational Change Management.
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AI and GenAI Integration: Drive the integration of AI and GenAI technologies into R&D workflows, enabling data-driven decision-making, advancing precision medicine, genomics data analysis, healthcare analytic and clinical trial design/analysis.
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Knowledge in enterprise data management architecture and principles, master data management, data governance and data quality. Knowledge in data modernization, Cloud, data migration and digital transformation.
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Work side by side with the Data Science, Precision Medicine, Digital Health and Data, Platforms and Partnerships teams on joint projects to ensure the optimal combination of RWD/E methodologies and analytics along with AI/ML and Digital solutions are being leveraged to deliver on high value use cases / problems.
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Track and trend quality data for non-conformances, RCI, CAPA and Change Control. The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data.
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Pursuing a Master or Doctoral degree (PhD) in Materials Science and Engineering, Polymer Science, Biomedical Engineering, Chemistry, Chemical Engineering, Biochemistry, or a related technical field.
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This position supports Daiichi Sankyo's Risk Based Data Monitoring and Validation strategy. Function as technical resource to the study teams for data visualization and reporting tools.
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master data jobs Title: buyer Company: Randstad in Bedminster, NJ
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