Note: The job is a remote job and is open to candidates in USA. Syngenta is seeking a Digital Genomics Prediction Intern for its Analytics & Data Sciences team. The intern will support phenotyping operations and data workflows, conduct an independent research initiative, and collaborate with breeding and data science teams to inform breeding decisions and product development.
Responsibilities
- 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
Skills
- 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
- 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)
Benefits
- A culture that celebrates belonging and collaboration.
- Professional development and ongoing career development resources.
- A work-life balance that supports team members.
- The opportunity to work on meaningful, innovative projects that solve problems.
- Remote work arrangement.
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