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across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data
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across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data
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dosage forms for novel drug candidates. Communicate within the DPD team the results of literature searches and other areas of active learning to enable project development. Ensure accurate, timely entries
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Job Summary: The Senior Scientist Computational Biologist will be a key member of the Machine Learning and Computational Sciences Team, focusing on the analysis and interpretation of complex
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experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data
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knowledge of Pfizer business divisions and interrelationships between them. Engages in continuous learning; shows commitment to being familiar with new regulations and industry standards, new technology , and
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adopt and utilize new digital technology and other resources with medical customers and record medical interactions. Operate a Pfizer company car and regularly fly on airplanes (i.e., attend HCP/customer
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technical skills. Rapidly adopt and utilize new digital technology and other resources with medical customers and record medical interactions. O perate a Pfizer company car and regularly fly on airplanes
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Experience analyzing high-dimensional data; familiarity with machine learning methods R Shiny-app programming experience Proficiency with other statistical software (e.g., SAS, JMP, and GraphPad Prism
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minimum of 1+ years of related experience in a regulated industry with knowledge to provide guidance on quality related topics. Knowledge of FDA regulations, specifically cGMPs. Computer skills (Microsoft