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Qualifications: Bachelor’s degree in computer science, Engineering, or a related field Proven experience as a data engineer, with a strong focus on data migration, ETL, and data integration.
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The US CNS Medical Science Liaison (MSL) is a key position within the US CNS Franchise and works closely with cross-functional partners including Global Medical Affairs, R&D, Clinical Operations, and USBU. The primary role of the MSL is to serve as the scientific interface between Novocure and the healthcare professional communities with respect to communicating scientific information about Novocure products, scientific data and clinical development plans.
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Daiichi Sankyo, Inc. (DSI) is currently seeking a Medical Science Liaison (MSL) to join the Field Medical Affairs Team. The MSL develops ongoing professional relationships with national and regional healthcare opinion leaders and other healthcare professionals to provide medical and scientific support for Daiichi Sankyo, Inc. (DSI) initiatives in selected therapeutic areas.
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The ideal candidate will have a deep understanding of artificial intelligence, machine learning, and data science, coupled with a strong background in Pre-Sales Solution Architecture. Conduct workshops for GenAI and conversational AI use case development, data strategy, and machine learning model development & operations.
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Certified Snowflake cloud data warehouse Architect (Desirable)Certifications in a cloud platform would be a plus, AWS preferred. Experience with data security and data access controls and design in Snowflake.
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Both the COS and the Office of University Interdisciplinary Programs play an integral role in interdisciplinary efforts on and off campus, including with the Chancellor’s Faculty Excellence Program, the Data Science Academy, the Genetics and Genomics Academy, and the Integrative Sciences Initiative and Building.
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Undergraduate junior or First year graduate student in a quantitative research field such as: Statistics, Econometrics, Computer Science, Demography / Actuarial Science, Mathematics, Data Science, Quantitative Social Sciences, Epidemiology, Engineering, etc.
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Advanced degree or equivalent experience in Statistics, Biostatistics, Econometrics, Economics, Epidemiology, Actuarial Science, or Data Science highly preferred. + Partner with other Data Science teams to support the Common Currency initiatives (Methodology, Governance, coordination of work and roadmaps across Data Science Verticals.
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BS Degree in Environmental Science, Environmental Engineering, Chemistry, or related field. Utilize scientific principles and EPA environmental testing methods to collect data and solve problems for clients.
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With capabilities spanning technology, data science, supply chain management, fulfillment, customer service, and more, we help brands launch, scale and grow—across product categories and geographically.
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Demonstrates a thorough level of knowledge utilizing the Prophet actuarial valuation software, including:Model development using the US360 library and the modules for Statutory and GAAP valuation;Customization to Prophet code and implementation of non-standard product features and projection methodologies; and,Experience with FIS Data Conversion System (DCS) and Prophet Enterprise (PE) and their use in large-scale automated reporting processes.
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Liase with stakeholders, including the Fraudand Security Unit and Business Systems and Intelligence leadership, to ensure adequacy of vendor compliance and data security plan. Qualifications: Bachelor's degree in a relevant field (e.g., Information Management, Library Science, Project Management, Industrial Engineering, Information Systems, Business Administration, Computer Science.
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NVIDIA is looking to hire a Senior Distributed Acceleration Engineer to work on RAPIDS, a suite of open-source software libraries that accelerates end-to-end data science and analytics pipelines on GPUs. RAPIDS relies on NVIDIA CUDA for low-level compute optimization but exposes high-performance GPU computing through user-friendly Python interfaces.
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Qualifications Position requires a Bachelor’s degree in Computer Science, Information Technology, Computer Engineering, or a related field plus six (6) years of experience in the job offered or six (6) years of experience as a Technology Lead, Technology Analyst, Systems Engineer, Software Engineer, or related occupation.
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We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges.
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