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Position: Manager, Digital Medicine Statistics, Early Clinical Development
Institution: Pfizer Inc.
Location: Cambridge, Massachusetts, United States
Duties: The Manager, Digital Medicine Statistics, Early Clinical Development is responsible for ensuring sound statistical thinking and methods are utilized in the discovery and development of novel digital endpoints; bringing the principles of objective decision-making into the development, validation, and implementation of industry-leading digital health technology programs for incorporation into clinical trials across Pfizer’s portfolio; and is an integral member of a matrixed team, which develops and employs computational and statistical approaches to discover and validate digital endpoints and biomarkers
Requirements: MSc in Statistics, Biostatistics or in quantitative discipline such as Physics, Applied Mathematics, Bioengineering, Electrical Engineering coupled with high level of statistical expertise. Research experience with mathematical/statistical modeling using complex data and three or more years of industrial or similar experience; Technical Skills: Fluency in R programming; Strong background in experimental design and statistical analysis including good understanding of inference and probability, competence in contemporary linear and predictive modeling including (longitudinal) mixed models, nonlinear regression, and predictive modeling; Genuine interest in biology and pharmaceutical development, with the attitude of self-directed scientist; demonstrated ability to multitask
   
Text: Manager, Digital Medicine Statistics, Early Clinical Development The Manager, Digital Medicine Statistics, Early Clinical Development is responsible for ensuring sound statistical thinking and methods are utilized in the discovery and development of novel digital endpoints; bringing the principles of objective decision-making into the development, validation, and implementation of industry-leading digital health technology programs for incorporation into clinical trials across Pfizer’s portfolio; and is an integral member of a matrixed team, which develops and employs computational and statistical approaches to discover and validate digital endpoints and biomarkers MSc in Statistics, Biostatistics or in quantitative discipline such as Physics, Applied Mathematics, Bioengineering, Electrical Engineering coupled with high level of statistical expertise. Research experience with mathematical/statistical modeling using complex data and three or more years of industrial or similar experience; Technical Skills: Fluency in R programming; Strong background in experimental design and statistical analysis including good understanding of inference and probability, competence in contemporary linear and predictive modeling including (longitudinal) mixed models, nonlinear regression, and predictive modeling; Genuine interest in biology and pharmaceutical development, with the attitude of self-directed scientist; demonstrated ability to multitask
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