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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). As a Sr Manager within Axtrias Data Science COE you will have the responsibility to apply AI/GenAI and data science to solve business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing, Medical Affairs and/or Clinical.
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Deloitte Risk and Financial Advisory Risk, Data and Regulatory Liquidity - Manager. 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.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Other technologies used include Docker, AWS, NIFI, Jenkins, Hibernate, Oracle and PostgreSQL Database along with Redshift and Dynamo DB. Experience with Apache Spark and Kafka is a big plus. Skills Required: JAVA, J2EE, Spring Boot, Spring MVC, RDMS data bases like (Oracle, Postgre SQL, SQL Server), File systems, Designing Large scale Applications and AWS.
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Fluency with key pharmaceutical data sources and platforms such as IQVIA, MMIT, 852/867 Wholesaler data, Veeva CRM, and Power BI. Serve as primary Data Business Partner for key functional users of the data including, but not limited to, Commercial Analytics, Market Access Analytics, Targeting, Incentive Compensation, Call Planning, Data Science, Forecasting, and Sales Operations.
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The Manager, Product Information & Master Data Management oversees Brother’s PIM (Product Information Management) system and MDM (Master Data Management) digital product vision, roadmap, features, benefits and overall customer experience in Brother’s current and future states.
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Establish and maintain effective communication and collaboration with functional area peers including Pharmacovigilance, Drug Supply, Quality Assurance, Regulatory Affairs, Legal, Medical Writing, Biostatistics and Data Management to meet program objectives and support achievement of goals.
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Experience working with data management projects having experience in data analysis, data governance, data quality and lineage. Serves as an analytics resource to wider organization or business units, offering expertise on systems and data output.
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Technology Ecosystem: Front-End: Power BI and SSASBack End: SQL Server and SSISArchitect: DataWarehouse and LakehouseCloud: Databricks with Azure Responsibilities Participate in ad hoc request where SQL queries needs to be written to pull data and ensure data is accurate.
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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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Develop the source code and data migration activities for projects identified in scope. 8+ years of experience in COBOL, CICS, JCL, DB2, VSAM, IMS. Key Technology:COBOL, CICS, JCL, DB2, VSAM, IMS.
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Technical knowledge of automation, controls, instrumentation, batch programming, Programmable Logic Controllers (PLC), Distributed Control Systems (DCS), Supervisory Control and Data Acquisition systems (SCADA), IT and OT networks and technologies.
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Engage in ongoing scientific exchange about the science and clinical application of Rare Disease portfolio to external stakeholders, obtain and share insights about current practice, treatment landscapes, and emerging clinical and scientific data.
$143,250 - $210,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Liaise with PVG and provide clinical operations support and guidance for the ongoing surveillance of the safety of patients in clinical trials by reviewing reported AEs and SAEs and assure proper reporting of the events to the ECs/IRBs Liaise with Data Management to review data discrepancies and ensure that data clarification forms (queries) are appropriately handled by the CRAs and responded to by the site/investigator in a timely manner.
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The Senior Manager, Clinical Data Management is a leadership role considered essential to the sustainability and success of the BMS R&D pipeline. Strong knowledge and experience of EDC systems (Medidata RAVE preferred); demonstrated knowledge of Microsoft Office skills and well versed in industry trends and emerging technologies supporting data collection.
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Understanding in single case processing, aggregate data review and evaluation of drug safety issues, adverse event dictionaries, literature publications, core labeling, and Periodic Safety Review preparation is required.
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big data jobs Title: manager Company: Eliassen Group in Basking Ridge, NJ
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