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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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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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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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skills, including: Must have excellent computer skills and be proficient with Microsoft Word and similar applications. Prepare submission ready documents. Work Location: On premise The annual base salary
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for the selection, cell line development, scale-up, and transfer of biologics (eg monoclonal antibodies and recombinant proteins). You will creatively utilize advances in machine learning and predictive analytics
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development plans, participate in cross-disciplinary forums & learning opportunities. Demonstrate and model adherence to all Pfizer behaviors & values, embrace and comply with Global Chemistry Manufacturing and
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and other applicable regulatory requirements Must demonstrate good computer skills and be able to embrace new technologies Excellent communication, presentation and interpersonal skills Ability
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communication skills. Systems and Document compilation skills, including: Must have excellent computer skills and be proficient with Microsoft Word and similar applications. Prepare submission ready documents
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development plans, participate in cross-disciplinary forums & learning opportunities. Demonstrate and model adherence to all Pfizer behaviors & values, embrace and comply with Global Chemistry Manufacturing and
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, HR policies) and individual development plans, participate in cross-disciplinary forums & learning opportunities. Demonstrate and model adherence to all Pfizer behaviors & values, embrace and comply