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As the Manager, Clinical Data Management you will be responsible for data management in clinical trials across all therapeutic areas. Manager, Clinical Data Management page is loaded.
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A Data Governance Engagement Manager will also be expected to be able to completely own and manage all aspects of a client engagement, as well as drive sales for the Strategy Offerings. Drive Data Strategy & Data Governance offering sales pipeline through cross practice/cross channel sales activity.
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The Modeling and Simulation Data Scientist will support the Combination Product Operations organization by improving the way. Partner with multi-discipline digital teams (data analysts, data engineers, data scientists, and business product owners) to advance data analytics tools/features (such as predictive/ prescriptive algorithms and machine learning.
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These include, for example, data from the Army, Department of Defense, Veterans Affairs, Social Security Administration, credit bureaus, and the National Student Clearinghouse. Research Analysts in this position work with PhD economists to conduct empirical research on topics in labor and public economics using administrative data from government, non-profit, and private sources.
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Reporting to the Chief Information Officer the Data Engineer is primarily responsible for developing and maintaining robust data integration pipelines between various systems such as internal OLTP databases, third-party vendor platforms, and an Enterprise Data Warehouse (EDW), scoping requirements for advanced reports, developing metrics and dashboards, and making recommendations for process improvement based on analysis of historical data.
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Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 5 years of experience as a Data Engineer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, ADLS-Delta lake, Azure functions, Logic aps, Synapse, Azure Logic Apps, Azure Storage, Azure Search, Purview, Azure SQL server, Scala/Spark/SQL/PYTHON etc.
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The Sales Data Coordinator will be responsible for US distributor reported data integrity and sales related master data. They will manage all master data within VIP SRS. In collaboration with IT, they will drive data enrichment and enhancement projects to advance reporting capabilities.
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Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka. Experience with data warehousing using AWS Redshift, MySQL, or Snowflake.
$73,000 - $166,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Expertise in Python, R, SQL, statistics, data mining. 12+ years of experience working in the field of Data Engineering and Data Science. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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20%) Oversees the fulfillment of requests for vital statistics data from a variety of internal and external stakeholders such as the Office of Inspector General Medicaid Fraud Unit, Teachers Retirement System of Texas, Texas Secretary of State office, Social Security Administration and HHSC Medicaid Eligibility per contractual agreement.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc.
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The Data Warehouse Architect role involves strategically designing and implementing data warehouses, data marts, and data stores as well as requisite ETL (Extract, Transform, Load) and visualization (reporting) development while ensuring high levels of data availability.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
Full-timeExpandApply NowActive JobUpdated 7 days ago
Title: data manager Company: Pra International
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