Produce more. Conserve more. Improve lives. That’s Monsanto’s vision for a better world. Achieving this vision demands revolutionizing agriculture through technology and analytics is central to attaining this transformation.
Monsanto is seeking a highly motivated individual for our Trait Analytics and Decision Science team under the Biotechnology Trait Testing organization. This position will play a key role in shaping, optimizing, and helping with strategic decisions across emerging technologies. The Statistical Scientist will engage with multi-disciplinary areas across Monsanto Technology providing expertise in experimental planning, analysis, and decision process. They will be responsible for mining and modeling of high-dimensional data, improving process efficiencies, teaching statistical concepts to scientist colleagues, leading special projects in analytics, and collaborating with other analytics teams and Monsanto R&D IT teams for delivery. This position also is expected to identify and implement emerging methodologies that accelerate analytical research objectives in Monsanto's Biotechnology organization.
Required Education & Skills/Experience:
Minimum of a PhD in Statistics, Biostatistics, Bioinformatics or a Statistics related discipline -OR- a Master’s Degree in Statistics, Biostatistics, Bioinformatics or a Statistics related discipline with two years of professional experience
Demonstrated computational skills and experience programming in R and SAS
Expertise in a wide range of statistical techniques including, but not limited to, experimental design, general and generalized linear mixed models, non-linear mixed models, multivariate statistics, non-parametric analysis, and Bayesian statistics
Strong problem solving and critical thinking skills
Experience presenting results to varied audiences and influencing project direction and strategy
Demonstrated ability to foster and maintain relationships at all levels of the organization
Ability to actively engage with internal partners and external collaborators to align strategies and success measures in analytics
Proven statistical consulting and problem solving skills in a research environment
Desired Education & Skills/Experience:
One or more years of professional experience after PhD
Background and experience in computational statistics, computational mathematics, machine learning and predictive analytics.
Background and experience in spatial statistics, geo-referenced data analytics and/or image analytics
Programming skills in Python
Knowledge and experience in plant biology, breeding, agronomy, and/or genetics
Knowledge and experience with agricultural field trials