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Position: Biostatistics Lead
Institution: Syngenta
Location: Durham, North Carolina, United States
Duties: Develops, coordinates, and provides biostatistical leadership and support for related projects in Breeding Innovation Pipelines at the Seeds Development Function level; Requires in-depth knowledge and experience in Statistics including mastery of techniques/methods/scientific theories and subject matter expertise; Typically works on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors and potentially the design of new analytics approaches; Responsible for development of new and improvement of existing processes, products and systems in defining, designing and enhancing our experimental designs and analysis capabilities for our field trial experiments
Requirements: Ph.D. in statistics or applied mathematics; Technical understanding of plant breeding and environmental trialing; 5+ years of experience in statistical methods applied to the design and analysis of experiments; including programming, multivariate statistics, probability, and spatial statistics; Significant experience in designing new analytics approaches customized with regards to specific contraints
   
Text: Biostatistics Lead Develops, coordinates, and provides biostatistical leadership and support for related projects in Breeding Innovation Pipelines at the Seeds Development Function level; Requires in-depth knowledge and experience in Statistics including mastery of techniques/methods/scientific theories and subject matter expertise; Typically works on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors and potentially the design of new analytics approaches; Responsible for development of new and improvement of existing processes, products and systems in defining, designing and enhancing our experimental designs and analysis capabilities for our field trial experiments Ph.D. in statistics or applied mathematics; Technical understanding of plant breeding and environmental trialing; 5+ years of experience in statistical methods applied to the design and analysis of experiments; including programming, multivariate statistics, probability, and spatial statistics; Significant experience in designing new analytics approaches customized with regards to specific contraints
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