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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Duties: Draw on experience with standard and advanced statistical methods; and scientific computing/programming such as SAS, R. and Python to contribute to trial design, protocol development, analysis planning, interpretation of results, and preparation of regulatory submissions.
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Knowledge of analytics tools such as Python, R, SQL, Adobe Analytics, Mixpanel, or similar website performance analysis in user behavior is a plus as well as experience with marketing technology and tools (Google Analytics, AEM, SFMC, DSP, CDP, etc.
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Proficiency with VBA, SQL tools, Matlab, Python, R, Power BI is preferred. Manage and advance data scraping and database capabilities with a focus on driving efficiency through automation of the reporting suite.
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Experience with general programming and data analysis tools/languages such as Python, R, MATLAB, Spotfire, etc., is required. Knowledge of current practices and issues in pharmaceutical R&D in disciplines such as clinical pharmacology, bioanalytical, biopharmaceutics, and toxicology.
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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Proficiency in R/Python, SQL, Tableau, MS Office Suite. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
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Databricks UI, Managing Databricks Notebooks, Delta Lake with Python, Delta Lake with Spark SQL, Delta Live Tables, Unity Catalog. Hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
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Building, Optimizing & supporting data pipelines utilizing Python, SQL & Java Script utilizing Snowflake & AWS. Expertise in Python building data application including reading, transforming & writing data sets.
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Knowledge in at least four of: GitHub, DataBricks, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, AzureDevOps.
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Direct legal support for real estate activities at NRG generation, mining and waste disposal facilities. Juris Doctorate, strong academic credentials and at least seven years of experience in a nationally recognized law firm or in house legal department.
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Proficiency in Microsoft Azure services and tools, including Azure DevOps, Azure Active Directory, Azure Data Lake, and Azure Kubernetes Services. Hands-on experience with Azure Arm Template (ARM), PowerShell and Shell /Bash scripting, Terraform, Python, Helm charts.
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Establish and manage senior level relationships positively with multiple internal stakeholders relevant to the design & implementation of clinical trials improvement/innovation projects for NACD & Novo Nordisk (e.g., across NACD, CMR, International Operations (IO), HQ R&D, & Commercial.
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Roll-out compliance communication and training actions for management and/or employees, including in the areas of customer due diligence, code of conduct, data protection, international sanctions, money laundering, anti-corruption, and fraud.
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The ideal candidate will possess extensive knowledge and hands-on experience in Terraform, Docker/Kubernetes, microservices architecture, and data migration, specifically from Oracle to PostgreSQL using ETL tools.
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