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Understanding of the nature of clinical data and concepts of IRT study configuration, resupply settings, blinding, privacy protection, and data quality/integrity standards. Project management and/or continuous improvement experience or certification such as PMP, CBAP, AIM or Lean Six Sigma Green Belt/Black Belt a plus.
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Work with partners in Research and Tech and Onyx to ensure D&PS/Research Tech input into the design of an effective data reuse strategy for Research that maximises the value of GSK’s data to drive research productivity and unlock upper quartile ambitions, working across D&PS and Research to drive uptake.
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Learn specification, design, and configuration of programmable logic controllers (PLC), Emerson DeltaV distributed control systems (DCS), manufacturing execution systems (MES), and data historians (OSI PI.
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Utilize data visualization tools and analytics software Power BI to extract meaningful insights from large data sets. Collect, analyze, and report transportation and logistics data from various sources such as JDE, Manhattan, and the freight audit company.
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Build and manage various operations workflows such as developing ad operations process documentation, maintain relationships with pertinent ad tech partners, work with the data team to optimize naming convention structures, advise and partner with data analysts to ensure we’re getting the best insights out of our ad tech metadata, and continually keep up-to-date with industry standards IAB) and ops best practices.
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This data program will include an integrated data flow with end-to end control of data, internalization of numerous systems and processes, broad enablement of automation and near-time data access, efficient data review and query, and enablement of disruptive technologies for next-generation trial designs and insight derivation.
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Experience in Big Data technologies (e.g. Spark, Databricks,) Experience building and optimizing 'big data' data pipelines, architectures, and data sets. BS degree in Computer Engineering, Information Systems, Statistics, Informatics or at least 5 years of experience Data Engineer or Architect role.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Responsible for documentation of laboratory animal histories and in vivo study data, IACUC protocol awareness, animal handling with multiple species and study types, dosing, necropsy, blood collection, etc.
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Experience in Azure data engineering and cloud data processing services. Analyzing, planning, and defining data architecture framework(s), including security, reference data, metadata, and master data.
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The ideal candidate would be someone with advanced knowledge of Data Integration tools, Data Architecture, data profiling/quality tools, AWS services, Tableau, Snowflake, Informatica Cloud Services, Airflow, Dataiku AI/ML tools, and some knowledge of building APIs.
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We are seeking candidates who have expertise in computer science, analytics, machine learning, and/or other dimensions of data sciences, in addition to expertise in chemical engineering, materials science, chemistry, polymer science, theoretical modeling, operations management, and/or industrial engineering.
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Oversight and preparation of compliance plans, reports, and permit applications for multiple state and federal environmental regulatory programs associated with the Clean Air Act, Clean Water Act, RCRA, EPCRA, and the Oil Pollution Prevention Act.· Conduct site visits to gather data and information and collect samples (soil, water, air) to support environmental compliance at industrial, commercial, and institutional sites.
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Reporting and Disclosure: Develop, implement and enforce SEI's global sustainability reporting framework and integrate it into the Company's financial reporting process including a SOX-like internal control framework over the ESG data gathering and reporting processes.
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Able to manipulate data sets, (e.g., compare CATIA to measurement data, create stereolithography files). Computer Aided Design Tools - Basic knowledge of computer aided design tools and systems (e.g., computer aideddesign/computer aided manufacturing (CAD/CAM), computer aided three dimensional interactive (CATIA), MentorGraphics, Unigraphics.
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data job Title: entry in Royersford, PA
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