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Use experience with: SAS and programming languages for derived analysis datasets and TFLs; XML, Pinnacle 21; handling and processing of upstream data (multiple data forms, workflow, eDC, SDTM); providing outputs to meet downstream requirements (ADaM, Data Definition Table, e-submission); and CDISC standards and relational database to p rovide comprehensive programming expertise to clinical project teams to support the development, regulatory approval and market acceptance of BMS products.
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Responsible for performing difficult or complex analysis, design and programming involving multi-project leadership and broad responsibility in support of new and existing Data Engineering Projects and production support activities.
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G, Tableau, Looker, Power BI) and programming languages, primary Python, R, HTML, and Javascript. Experience with data visualization tools, such as Tableau, Power BI, Google's Looker Studio, D3.
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O Programming Language: Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting. Use programming languages including but not limited to Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Provide support for key or specialized processes with functions such as tool design, tool and work cell layouts, fixture design and enhancements, creation of standard work, evaluation and direction in weld techniques and process improvements, robotic weld programming, CNC programming, set-up data/procedures and metallurgical analysis, and implementation of Lean Enterprise through material flow and changeover reduction.
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Familiarity with data warehousing concepts and schema design principles (e.g., Star Schema, Snowflake Schema) Experience with big data technologies such as Snowflake, Hadoop, Spark, Airflow, or Flink.
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Ensure that all programming and data are conducted in compliance with GCP, relevant SOPs, and regulatory requirements; review and file study documentation in the trial master file (TMF) system acceptable for audit.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Proficiency in one or multiple literate statistical programming languages like R, Python, or Scala. AT A GLANCEWe are looking to hire a Data Scientist to join our RVO Health data science team.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Conduct hands-on programming of deliverables including but not limited to IDMC meetings, DSUR, IB safety data review, Board meetings, Exploratory Analysis, etc. Experience of leading both early and late-phase clinical studies including programming and validation of SDTM and ADaM data sets, tables, figures, and listings.
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Implement data engineering, ingestion, and curation functions on Azure cloud using Azure native programming. Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Strong proficiency in programming languages such as Python, Java, or Scala, with expertise in data processing frameworks and libraries (e.g., Spark, Hadoop, SQL, etc.) Effectual Data Engineers develop, code, and deploy scripts written in the Python programming language, as Python is the language of Data. All Data Engineers are first and foremost Software Engineers with an understanding of the SDLC process.
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Experience in designing, configuring, programming, installing, or servicing two or more of the following products: Siemens, Honeywell, Schneider Electric, Rockwell Automation, Ignition, Tridium Niagara, Eaton, ABB, Johnson Controls, APC, or other.
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The Health Data Analytics team is accountable for both performing analysis to drive client and product success as well as codifying complex value-based care concepts via scalable programming.
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