Digital Genomics Prediction Intern

Syngenta Group • Durham, NC

2h • $20 - $45

About The Position

Syngenta’s Analytics & Data Sciences team is seeking a Digital Genomics Prediction Intern in Durham, North Carolina. The internship provides practical experience relevant to careers in agricultural technology, plant sciences, and graduate research. The intern will gain exposure to industry-leading phenotyping infrastructure and contribute insights to active breeding programs. As part of Syngenta’s Emerging Talent Program, the intern will gain hands-on experience, learn about day-to-day business operations, apply academic knowledge to real-world challenges, and develop professional skills.

The internship runs from May 2027 through August 2027. The intern will support phenotyping platform operations across greenhouse and field environments, contribute to image-processing and analytical workflows, lead an independent research initiative, and collaborate with plant breeders, agronomists, and data scientists. The role also involves maintaining experimental records and technical documentation to support reproducibility.

Requirements

• Currently enrolled as a graduate student at an accredited college or university.
• Pursuing a degree in Plant Breeding, Plant Science, Agronomy, Computer Science, Data Science, Engineering, Biology, Plant Pathology, Horticulture, Entomology, Weed Science, Crop Science, or a related discipline.
• Programming proficiency in Python and/or R for data analysis and visualization.
• Minimum cumulative GPA of 3.0.
• Strong analytical thinking and problem-solving abilities.
• Effective communication skills for technical and non-technical audiences.

Nice To Haves

• Hands-on experience with agricultural research, remote sensing, field trials, or crop production systems.
• Experience working with geospatial datasets.
• Understanding of GIS software such as ArcGIS Pro or QGIS, and spatial databases.
• Experience with machine-learning applications in remote sensing, including classification, regression, or object detection.

Responsibilities

• Support phenotyping platform operations, including sensor deployment, image acquisition, and field data collection across greenhouse and field environments.
• Contribute to image-processing workflows, trait-extraction algorithms, and analytical pipeline optimization using advanced computational tools.
• Lead an independent research initiative focused on phenotyping methodology validation or trait measurement innovation, culminating in a presentation to research leadership.
• Partner with plant breeders, agronomists, and data scientists to integrate phenotypic insights into breeding decisions and product development.
• Maintain detailed experimental records, standard operating procedures, and technical documentation to ensure reproducibility.

Benefits

• Culture that celebrates belonging and collaboration and supports work-life balance.
• Professional development and ongoing career development resources.
• Competitive wages.
• Opportunity to work on meaningful, innovative projects that solve problems.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed