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Global Seed Operations Quality Innovation Intern

Vylor
Posted 2 days ago, valid for 21 days
Location

Des Moines, IA, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Vylor is seeking a Quality Innovation Intern to join their Global Seed Operations Quality organization, focusing on advancing agricultural innovation.
  • The internship is open to students currently pursuing a bachelor's or master's degree in relevant fields, with an emphasis on agricultural innovation and data-driven problem-solving.
  • Interns will gain hands-on experience with seed quality testing and work alongside experts in emerging technologies such as imaging, sensors, and machine learning.
  • Candidates should have strong communication skills, a willingness to learn, and ideally some experience with laboratory work or data analysis tools.
  • The internship is expected to run from May through August 2027, with a competitive salary offered during this period.

Join Vylor—Powering the Future of Agriculture​

At Vylor, we’re advancing agriculture through breakthrough science—combining elite germplasm, cutting-edge biotech, and next-generation expertise in gene editing and molecular breeding. Our portfolio includes trusted industry brands like Pioneer®, Brevant®, and Hoegemeyer®, delivering performance farmers rely on.​

Join us to help scale innovation globally and shape what’s next in crop science.

Vylor is seeking a motivated student to join the Global Seed Operations Quality organization as a Quality Innovation Intern. This internship provides an opportunity to apply academic knowledge to real-world projects that support innovation in global seed-testing operations.

Working alongside laboratory leaders, scientists, engineers, and data analysts, you will explore how emerging technologies—including imaging, sensors, automation, and machine learning—can support the evaluation of seed viability, vigor, and purity.

What You Will Do

  • Experimental design and innovation: Support the design, planning, execution, and documentation of experiments that evaluate seed quality using emerging technologies.
  • Data analysis and interpretation: Organize and analyze data from imaging systems, sensors, and other diagnostic platforms to identify patterns related to seed health and quality.
  • Machine-learning support: Assist with preparing data, testing approaches, and evaluating results for machine-learning or automated seed-classification use cases under the guidance of technical experts.
  • Cross-functional collaboration: Work with quality-testing laboratory leaders, scientists, engineers, and data analysts to prototype and evaluate new tools, methods, and workflows.
  • Documentation and quality: Maintain clear experimental records, follow established laboratory and data-quality procedures, and communicate risks, findings, and next steps.
  • Project presentation: Present project findings and recommendations to the Global Seed Operations Quality team and other business partners.

Qualifications

Required

  • Currently pursuing a bachelor's or master's degree in agronomy, plant science, seed science, agricultural engineering, biological engineering, data science, computer science, statistics, or a related discipline
  • Strong interest in agricultural innovation, seed technology, experimentation, or data-driven problem-solving
  • Strong written and verbal communication skills and the ability to collaborate effectively across technical disciplines
  • Demonstrated curiosity, initiative, attention to detail, and willingness to learn
  • Availability to work in Johnston, Iowa, from approximately May through August 2027

Preferred

  • Experience with laboratory work, experimental design, data collection, or statistical analysis
  • Familiarity with imaging systems, sensors, computer vision, automation, or machine-learning concepts
  • Experience using data-analysis or programming tools such as Excel, Power BI, Python, R, MATLAB, or similar applications
  • Coursework or project experience related to seed biology, plant physiology, image analysis, or predictive modeling

What You Will Gain

  • Hands-on experience with innovation projects in global seed-quality testing
  • Exposure to imaging, sensing, automation, machine learning, and laboratory workflows
  • Experience translating experimental data into practical findings and recommendations
  • Opportunities to strengthen technical, analytical, presentation, and cross-functional collaboration skills
  • Connections with scientists, engineers, laboratory leaders, data analysts, and other seed-production professionals

Join Vylor to explore emerging technologies and help advance how seed quality is evaluated across global operations.

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.


Corteva announced to separate our current advanced seed and genetics business to establish a standalone company, operating as Vylor, Inc. The process of the planned separation is anticipated to be completed the fourth quarter of 2026, subject to legal requirements and board approval. Should you accept this position, it is anticipated that, following conclusion of the separation, you would be an employee of Vylor, Inc. and your employment would be governed by Vylor, Inc. employment processes, programs, policies, and benefit plans. In that case, details of any planned changes would be provided to you by Vylor, Inc. at an appropriate time and subject to any necessary consultation processes.


Vylor is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.




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