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This role primarily interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Strong knowledge of Research and Development systems and functions such as Research informatics, Research data products, Lab systems automation, Development Operations, Pharmacovigilance, Regulatory, integration and Data visualization.
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Git); SQL Server, Javascript, Microsoft Office ApplicationsBachelor’s degree in museum studies, Information science, computer science or related field with proven interest in cultural heritage data management.
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Broad knowledge of secondary pharmaceutical data sources such as Retail & Non-Retail data, Medical & Pharmacy Claims, EMR, Lab Test/Diagnostics, Chart Audits, Patient Hub & Specialty Pharmacy Data, 852/867 EDI and Health System/Payer – Plan hierarchies.
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Experience in GMP and Aseptic processing is preferred. The ideal candidate for this position should have work experience in cell therapy process development, manufacturing science, analytical development, and familiarity with GMP/FDA/ICH guidelines.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable. QSP models are mathematical models that are used to integrate knowledge and data on disease pathophysiology and drug pharmacology in a mechanistic manner.
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Knowledge of work with the US Government in the area of CFIUS in highly complex cases, where data protection is required. Install structure and excellence over Enterprise Governance & Cybersecurity Risk Assessments, Data Privacy, Internal Audit, and strategic client projects.
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Working knowledge of food plant production and processing equipment preferred. Our many popular brands include Red Baron, Tonys, Big Daddys, Villa Prima and Freschetta pizza; Mrs. Smiths and Edwards desserts; and Pagoda and Bibigo Asian-style snacks.
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For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc.
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Co-own with relevant stakeholders the site HSE continuous improvement plan considering Firmenich HSE global Strategy, HSE global management Principles & Codes, Data, new business requirements, new/updated regulations and employees’ input and by providing data analysis, trending, and recommendations and providing technical and administrative direction on HSE matters at the site.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Extensive knowledge of a broad array of systems including Clinical Trials Management System (CTMS); Risk Based Monitoring (RBM); Electronic Trial Master File (eTMF); Electronic Data Capture (EDC); Clinical Studies Operational Data Warehouse & Analytics; Site Training and Resource Management etc.
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data processing jobs Company: Microsoft in Lawrence, NJ
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