Statistics & Predictive Breeding Plant Scientist

Syngenta   •  

Minnetonka, MN

Industry: Agriculture


5 - 7 years

Posted 396 days ago


  • Serve as consulting resource for experimental design and data analysis methodologies for target Seeds Product Development (SPD) scientists
  • Prepare and conduct training to Seeds Research & Development community on relevant topics of statistics and data science
  • Conduct regular new user and refresher trainings on selected computational tools to the SPD staff
  • Drive trial quality from SPD side, support development and application reasonable Key Performance Indicators (KPIs). Serve as contact to trialing teams to improve their expertise Lead statistical analysis, implementation and tools deployment for:
    • Genotype evaluation and selection (experimental design, data management, statistic model)
    • Environmental characterization (weather stations, soil analysis, crop practices, crop modelling)
    • Genotype and environment interactions (GEI) interpretation (stability, limiting factors).
    • Data management, analysis and reporting
  • Serve as “power user” subject matter expert for the ongoing development and optimization of at critical computational applications used by Seeds Product Development and provide user support for users within the defined SPD work group.
  • Communicate opportunities for improvement of computational applications to the development or maintenance teams, based on personal use or user feedback
  • Participate to the testing of new approaches to improve phenotyping with better accuracy and higher throughput.
  • Serve as the key interface with the Quantitative Breeding Group



 Essential Knowledge & Experience

  • Ability to work within a matrix environment spread across geographies and cultures
  • Strong stakeholder management skills
  • Analytical thinking skills
  • Strong influencing skills to lead alignment and adoption on process and methods
  • Excellent communication and interpersonal skills
  • People and leadership skills that will build bridges
  • Utilizing computational tools in breeding, trait development, and product selection


  • PhD degree in Statistics, Data Science or Computational Biology
  • 5+ years of experience with quantitative genetics, statistics and breeding wheat
  • Advanced expertise of principles and activities in genetics, plant breeding and testing
  • Advanced expertise in experimental design, data analysis procedures, and statistics
  • Advanced expertise in computer applications in science
  • Advanced expertise in agronomy and trialing