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preferably in engineering, economics, statistics, computer science, or related quantitative field. Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics
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clinical drug development in collaboration with pharmacometrics and statistics groups (as relevant). Provides recommendations for clinical doses and dosing regimens (including drug-drug interactions, food
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and GAN models. Expertise in statistical data analysis and mathematical methodologies for unsupervised & supervised learning algorithms. Expertise in a wide variety of techniques such as neural nets
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of other colleagues to achieve meaningful outcomes and create business impact. Degree in Computer Sciences, Statistics, Clinical Informatics or similar Relevant certification &/or work experience in data
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of other colleagues to achieve meaningful outcomes and create business impact. Degree in Computer Sciences, Statistics, Clinical Informatics or similar Relevant certification &/or work experience in 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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resources to ensure all functional device activities are completed on schedule following the Pfizer Design Control process. Utilize technical writing and statistical data analysis skills to write protocols
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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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throughout clinical drug development in collaboration with pharmacometrics and statistics (as relevant). Provides recommendations for clinical doses and dosing algorithms (including drug interaction advice
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to design, guide, conduct statistical analysis, and interpret multi-omics datasets including proteomics, NGS, and chemical biology data in the context of drug discovery projects. Contribute to the development