As a world market leader in crop protection, we help farmers to counter these threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs.

Syngenta Crop Protection keeps plants safe from planting to harvesting.  From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold.

Syngenta Crop Protection is headquartered in Switzerland. 

About This Job

We invite you to help us shape the future of agriculture. At Syngenta, we believe every employee has a role to play in safely feeding the world and taking care of our planet. To support that challenge, the North America Seeds Development team is looking for an intern to work with our phenomics, market segment team, and applied data science group to problem solve data collection methods by investigating from manual data collection to digital data alternatives. Summer internship role will work with a collaborative project team looking at historical data, in-field data collection, satellite imagery, and data analysis.  Additionally, there will be time to explore the candidate’s unique skill set and career development interests.

As an intern at Syngenta, you will work alongside some of the brightest minds in the industry, and work on real projects finding real solutions. Work with us and you’ll get:

• Ongoing career development resources & mentorship from scientific experts
• Meaningful projects that solve novel and interesting scientific problems

Estimated Duration: May 2026 – August 2026
Location: Slater, IA

You will: 

• Work on collaborative project team with applied data science team, soybean product placement scientist, and market segment trialing manager to validate early season soybean data collected by available remote sensing technologies
• Help determine and recommend what imagery resolution is best for identifying early to mid-season soybean stands
• Utilize 2025 historical satellite and drone data collection information to determine most effective image resolutions to validate early season soybean stand assessment at small plot R&D testing locations
• Effectively work with real time 2026 post soybean emergence imagery, validate the digital findings in assigned plot fields, conduct drone flights at assigned field locations, process imagery data, and analyze appropriate data
• Present project findings during mid-season to the market segment team
• A variety of additional data structure skills may be learned and deployed
• The intern will operate in accordance with Syngenta Health, Safety, & Environmental (HSE) standards

What you must have: 

• Pursuing a college degree in Data Science, Computer Science, Precision Agriculture, Genetics, Agronomy, Statistics, Animal or Plant Science, Plant Breeding or related fields
• Must be a current student continuing education upon completion of the internship term (May 2026 through August 2026)
• Ability to work independently with proper direction, as well as effectively communicating and collaborating with project team and stakeholders
• Knowledge of image collection, image QC, data processing, visualization, and data analysis methods
• Proactive approach to assigned objectives/goals
• Prior experience or course work in data science, computer science, or statistics is preferred
• Prior data management experience is strongly desired

• Drone Certification: Commercial drone pilot licensing and ability to follow company-specific flight protocols
• A valid driver’s license with an acceptable moving violations record

What We Offer:

A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs. 

Syngenta has been ranked as a top employer by Science Journal. 
Learn more about our team and our mission here: https://www.youtube.com/watch?v=OVCN_51GbNI 

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. 

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