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Provide leadership and content expertise for DM activities from start-up through statistical analysis stage of clinical studies to effectively manage data capture, review, and database lock activities.
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Azure – Logic Apps, Function Apps, Azure Data Factory, Virtual Machines, EKS, Azure SQL database, Azure Synapse etc. Experience in Big data technologies such as Spark along with working knowledge on industry- standard products and platforms such as Snowflake, Databricks, Redshift etc.
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As a Quality Control Technician you'll be working to support the plant's day-to-day operations around quality. You'll be supported by your team with possibilities to grow into a Supply Chain Professional and directly impact the quality of our products - helping to improve real lives.
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Experience with database solutions like Kudu/Impala, or Delta Lake or Snowflake or BigQuery. 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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Develop interfaces between OnBase and other applications using Hyland’s Unity toolkit, external database links, and/or custom integration applications to link enterprise applications with OnBase solutions, achieving a seamless user experience.
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You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
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Update and enhance existing metadata according to national and local standards to reflect the most recent metadata rules, and practices for monographic and serial publications in both OCLC Connexion Client and the Library's local database.
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Master’s degree from an accredited university in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics with 3 years relevant work experience is required; a doctoral degree (PhD, DrPH, ScD) is preferred.
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Broad understanding of multiple technologies -These include; Blue Yonder suite of products/architectures ERP (SAP) & ERP Datawarehouses (SAP BW) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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Knowledge of key concepts including unit operations, processes, quality by design (QbD), tech transfer, process validation, quality attributes, and regulatory milestones across pharma development.
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Ensures compliance to Integra LifeSciences quality standards and conveys an expectation of high product quality. Work with CSS leaders and Quality Assurance to unify processes and tools (where possible) to enable common ways of working between CSS and TT.
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Drive DM oversight of data releases/DBLs and ensure timely delivery of data deliverables in accordance with Genmab SOPs and ICH/GCP; ensure data quality for analysis and reporting; prepare for regulatory filings and inspections.
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Specifically, the Senior Director leads Forecasting, Gross-to-Net calculations, Commercial Sales Force Structure, Incentive Compensation, Commercial Analytics of Performance and Opportunities, Operational Expense tracking, CRM and administration/Support of all Commercial applications, platforms, systems, data warehouse, and Master Data Management processes.
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Work in close collaboration with colleagues in R&D Quality Management, operational units in Drug Development (Clinical Development, Clinical Operations, Data Management, Manufacturing, Medical Affairs, Laboratories, Pharmacovigilance, Regulatory Affairs, Translational Medicine, vendors (CSPs) and partners in GMP QA.
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database administrator data quality jobs in Princeton, NJ
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