Digital Genomics Prediction Intern

At Syngenta our goal is to build the most collaborative and trustworthy team in agriculture providing top-quality seeds and innovative crop protection solutions that improve farmers success. We invite you to help shape the future of agriculture and play a role in safely feeding the world while caring for our planet. 

Syngentas Analytics & Data Sciences team is seeking a Digital Genomics Prediction Intern in Durham NC. This internship provides practical experience applicable to careers in agricultural technology plant sciences or graduate research programs. Youll gain exposure to industry-leading phenotyping infrastructure and contribute meaningful insights to active breeding programs.

As part of Syngentas Emerging Talent Program you will gain hands-on experience exposure to day-to-day business operations and opportunities to apply your academic knowledge to real-world challenges while developing your professional skills. 

Duration:  May 2027 August 2027

Accountabilities 

• Support phenotyping platform operations such as 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.

Qualifications :

Required  

• Currently enrolled as a graduate student in an accredited college/university.
• Pursuing degree in Plant Breeding Plant Science Agronomy Computer Science Data Science Engineering Biology Plant Pathology Horticulture Entomology Weed science Crop Science or related discipline.
• Hands-on experience with agricultural research remote sensing field trials or crop production systems beneficial.
• Programming proficiency in Python and/or R for data analysis and visualization.
• Minimum 3.0 cumulative GPA.
• Strong analytical thinking and problem-solving abilities.
• Effective communication skills for technical and non-technical audiences.

Desired 

• Experience working with geospatial datasets.
• Understanding of GIS software (ArcGIS Pro QGIS) and spatial databases.
• Experience with machine learning applications in remote sensing (classification regression object detection).

Additional Information :

Salary for this position ranges between $20 - $45 hourly. 

What We Offer:  

• A culture that celebrates belonging and collaboration promotes professional development and strives for a work-life balance that supports the team members.  
• Competitive wages. 
• Ongoing career development resources. 
• The opportunity to work on meaningful innovative projects that solve problems. 

Syngenta is committed to creating a culture that celebrates belonging and collaboration promotes professional development and strives for a work-life balance that supports the team members  

Syngenta has been ranked as a top employer by Science Journal. Learn more about our team and our mission here:  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.  

#LI-DNI

Remote Work :

Yes

Employment Type :

Intern