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Senior Research Associate – Statistician (Masters or PhD)


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Job Title: Senior Research Associate – Statistician (Masters or PhD)
Location: Johnston, IA, Mid-West United States, USA
Company: Corteva
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed and Biotechnology
Career Type: Researcher/Research & Development
Job Type: Full Time
Minimum Years Experience Required: N/A
Salary: 0
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Description


Corteva Agriscience is the worlds leading developer and supplier of advanced plant genetics, agronomic support, agricultural chemistries, and services to farmers in more than 90 countries. Innovative and customer-focused, Corteva Agriscience seeks to increase producer and consumer productivity and profitability while creating sustainable agricultural systems for people everywhere.

 

The Predictive Agriculture group focuses on developing mathematical models of plants and agricultural systems, prediction methods based on statistical learning and mechanistic models, and digital solutions for farmers. We are looking for individuals with a desire to help farmers, expertise in statistical analysis and an aptitude for mathematical modeling and machine learning.

 

Job Duties/Responsibilities:

 

The statistician participates in interdisciplinary teams of agriculture scientists, remote sensing specialists and mathematicians to

 

  • Identify, develop and apply robust statistical methods to analyze large, highly complex linear and non-linear multivariate data sets generated from a series of experiments conducted to enable prediction crop yields at different scales.
  • Undertake research that will lead to the development of novel prediction methods that integrate multiple sources of information to enable predictive agriculture.

Qualifications


Master in statistics, mathematics or related disciplines. PhD will be considered as well.

Independent problem solving from hypothesis generation through results interpretation.

Proficiency in statistical analysis including experimental design, power analysis, and mixed model methodology.

Experience with Bayesian Hierarchical Modeling, modern statistical learning and machine learning.

Familiarity with mathematical modeling and dynamical system is a plus.

Proficiency in both scripting and programming languages such as R, Python, and C.

Outstanding written and oral communication and interpersonal skills.
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Job Post Date: 04/06/19
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