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Hands-on experience with database systems - SQL server, Oracle, Azure Synapse and Snowflake, Cloud technologies (. Must have technical “Hands-on” experience in implementation of data solutions and related downstream systems like data lake using technologies like Informatica IICS, Databricks Python, ADF, Snowflake and other Azure Databases.
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This position is a member of the Gas Market Analytics team which is responsible for market analysis, developing fundamental market models, short and long term balance and price forecasting using statistical and qualitative methodologies in support of gas and power trading activities.
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Machine learning experience welcome, though not essentialHighly skilled in using statistical software (e.g., R, SAS, Python, and/or Stata), database query (SQL) preferred. The PositionLeads the execution of observational research studies through the hands-on analysis of real-world data and application of appropriate data science techniques under the minimal supervision of a group leader; studies support the aligned strategy (defined in the Evidence Generation Plan – EGP) spanning one therapeutic area.
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Your day-to-day will involve:Engaging in dynamic discussion laboratory personnel in our US and European locations to guide them in developing IHC/IF single-plex/multi-plex assays and in situ hybridization (ISH)Partnering closely with our digital pathology team and data scientists to develop and verify digital image analysis algorithms and results from image analysis projects.
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At least 2 years of progressive experience with federal government contract accounting including indirect rate analysis. Review and set up of federal government contracts into Deltek Costpoint contracts & accounting software system.
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The role will be involved in current and future state business process mapping and improvements as we anticipate a migration away from PeopleSoft HCM to a cloud system such as Oracle Cloud or Workday.
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Ability to extract information from databases using a variety of software packages (e.g., Oracle SQL developer) We are seeking a highly motivated drug discovery data scientist to join our Data Science and Advanced Analytics team in LDO. Our team is responsible for developing informative analysis tools and inferential models for machine learning (ML)-enhanced lead discovery.
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Procurement process knowledge, contract management, financial analysis, market analysis, supplier analysis, supplier diversity, supplier management, technology utilization, strategic planning and integrated supply chain experience.
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Having good experience in PL/SQL programming using oracle and created complex SQL queries, DB Views as part of ETL development, also worked on Oracle Golden Gate replication.
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Azure – Logic Apps, Function Apps, Azure Data Factory, Virtual Machines, EKS, Azure SQL database, Azure Synapse etc. Strong in at least one of the Programming languages – Python or SQL, etc.
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Test raw materials, In-process, extended release Intermediates, Finished Product + Stability samples, incl dissolution, assay, preservatives, Related Compounds analysis, content/blend uniformity, particle size distribution by Laser Diffraction/Sieve Analysis, Bulk + Tapped density, cleaning verification/validation according to analytical methods, United States Pharmacopeia (USP) procedures in GMP-regulated lab environment.
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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
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Research and analysis of merchant energy activity and fuel related costs (natural gas, transport, and emissions) in the CAISO Market. Vital member of the Conventional Accounting team responsible for general accounting and analysis for the Clearway Natural Gas Assets.
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Perform traffic engineering design including traffic modeling and traffic analysis, traffic signal design, signing and striping design; coordination with other disciplines. The Sr. Traffic Engineer will be part of a team completing the necessary analysis, design, and calculations required for the project.
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Databases including Big table, Cloud SQL, Cloud Spanner, Memory store, Data Analytics Data Flow, DataProc, Cloud Pub/Sub, Kubernetes, Docker, managing containers, container auto scaling and container security.
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analysis oracle sql jobs Company: Iris Software in Skillman, NJ
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