Hybrid Wheat Breeding Specialist

3 days ago


Junction City, Kansas, United States Syngenta Full time
About the Role

We are seeking a highly skilled and motivated individual to join our Research and Development team as a Hybrid Wheat Breeding Intern. As a valued member of our team, you will have the opportunity to work on meaningful and innovative projects that drive business growth and solve complex problems in the agricultural industry.

Key Responsibilities
  • Collaborate with breeding and analytics teams to develop a controlled environment phenotyping proof of concept, informing future protocol development.
  • Coordinate and provide feedback to the North America breeding team to ensure accurate data collection on hybrid trials for performance traits in spring and winter wheat.
  • Conduct descriptive and statistical analyses of field and controlled environment data to support scientists in driving product performance.
  • Develop expertise to recommend strategic updates to our product evaluation strategy, aligning with business goals of delivering value to customers.
About Syngenta

Syngenta is a leading global agribusiness company that believes every employee has a role to play in safely feeding the world and taking care of our planet. Our Research and Development team is committed to delivering innovative solutions that meet the evolving needs of farmers and consumers.

What We Offer
  • Competitive wages and hourly salary range of $21-$40 per hour.
  • Ongoing career development resources and opportunities for growth.
  • The chance to work on meaningful projects that drive business results and make a positive impact.
  • A culture that values diversity, inclusion, and flexible work options.
Requirements
  • Master's or Ph.D. degree in Plant Breeding, Agronomy, Seeds Production Research, or a related field, to be completed by December 2025 or after.
  • A valid driver's license and acceptable moving violations record.
What Gives You an Advantage
  • Intermediate to advanced statistical analysis skills with regard to phenotypic data.
  • Knowledge of agronomics and plant breeding.
  • Fluency in at least one computing language or software.
  • Outstanding interpersonal skills.


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