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The Business Intelligence Developer II will develop and maintain BI interfaces that support Duck Creek Technology’s initiative to improve Data Quality, Data Audit processes and Corporate Metrics Reporting, including developing a Data Architecture with role-based security.
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Strong signal and information processing expertise (statistical signal processing, array processing, signal modeling, linear algebra, probability and random processes, optimization, tracking/data fusion, adaptive signal processing, digital signal processing, information theory.
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Familiarity with GCP, ICH and FDA requirements as applicable for Clinical Data Management. The successful candidate will provide clinical data management oversight of outsourced clinical trials including but not limited to project management, vendor management, coordination of internal reviews, and approval of deliverables.
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Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulation are changing the way we develop new drugs. Advances in bigchemical data, massive computing power, artificial intelligence, andmolecular dynamics simulation are changing the way we develop newdrugs.
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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. Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions.
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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. Substantial Investment Management business domain expertise across some combination of research, portfolio management, trading and investment operations.
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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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Data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting. Develop and enforce best practices for IT infrastructure management, including disaster recovery, data storage, network design, and cloud services.
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Data Quality Management. Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Extracts data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms.
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The person will work directly with stakeholders across – ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/ enhancing IT solutions for ESG reporting.
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The Talend ETL Developer is a key member of CHIA's software development organization and our Data Operations and Technology team reporting to the Associate Director of Master Data Management and ETL Design.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Information Management, or a closely related field and three (3) years of experience as a Senior IT Data Analyst (or full stack engineering or closely related occupation) performing data analysis and modeling using SQL, PL/SQL, and Python in a financial and brokerage services domain.
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AssistantVice President will have extensive experience with Tableau Data Sources, Extracts, Data Visualizations, Tableau Desktop, Tableau Server, Tableau cloud, Tableau Mobile, Tableau Reader, Tableau Prep, Tableau Bridge, SQL Query, SAP Business Objects administration, Alteryx Designer, Alteryx Intelligence suite and Alteryx Server.
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