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Collaborates closely with the US HEOR group on biologics-related activities (providing input into early economic models/endpoints, guiding trial design, assimilating HEOR input, and supporting data review for secondary publications), and presenting this back to the medical affairs teams.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role 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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Collaborating closely with the Medical Team and the Market Access team, the MVL engages in scientific exchange and enters strategic discussions with health care decision makers as they relate to medical/clinical and health economic and outcome research (HEOR) data with payers, policy makers, and other decision makers and influencers.
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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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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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Ensures that non-retail strategies are aligned with long-term market access objectives and that non-retail channels are supported with the necessary resources. Provides US strategic insights and inputs to shape Global Market Access / Global HEOR strategies and trial design.
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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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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
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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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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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The Principal Data Scientist, Digital Solutions reports to the Head of Technology, Digital Solutions. Experience with data visualization tools (e.g., Tableau, Power BI). The Principal Data Scientist role will closely work with cross-functional product teams and responsible for designing, developing, and deploying external customer focused Product focused AI (PAI) / data science solutions to extract valuable insights and intelligence from large and complex medical datasets.
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Work will take place onsite at the NSTX-U fusion researcher facility located at Princeton Plasma Physics Laboratory, Princeton NJ. Qualified candidates will have a Ph. D. in Physics or a related field and a demonstrated background in plasma physics, microwave based diagnostics, and advanced data analysis/signal processing techniques.
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Collaborates with therapy area HCP/Consumer Strategy and Experience Leads, market access and policy/advocacy (MAPA), Diversity, Equity, & Inclusion (DE&I), and other cross-functional teams to develop campaigns and content that resonates with diverse audiences – considering cultural, socioeconomic, and healthcare access factors.
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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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This role will also provide user support and data entry for Client's Digital Asset Management system (DAM) which serves as the central repository for all marketing materials. This role will also provide user support and data entry for Client's Digital Asset Management system (DAM) which serves as the central repository for all marketing materials.
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market data jobs Title: financial analyst Company: Leidos in Princeton, NJ
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