Digital Genomics Prediction Intern
Compensation
$20 – $45 /hr
Employment type
Full-time
Work setting
Hybrid
Location
Durham, NC
Schedule
Day shift
Posted
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Job overview
The Digital Genomics Prediction Intern role is hybrid in Durham, NC, from May 2027 through August 2027, with pay of $20–$45 per hour. The intern supports Syngenta’s Analytics & Data Sciences team and active breeding programs. The role exists to apply computational and phenotyping methods to agricultural research, producing insights that can inform breeding decisions and product development. The internship also provides practical experience in agricultural technology, plant sciences, or graduate research.
What you'll do
- Support phenotyping platform operations, including sensor deployment, image acquisition, and field data collection in greenhouse and field environments
- contribute to image-processing workflows, trait-extraction algorithms, and analytical pipeline optimization
- lead an independent research initiative on phenotyping validation or trait-measurement innovation and present findings to research leadership
- collaborate with plant breeders, agronomists, and data scientists
- maintain experimental records, standard operating procedures, and technical documentation.
What we're looking for
- Skills & competencies
- digital genomics prediction internhybriddurham ncsyngenta seeds$20–$45/hrmay–august 2027phenotypingpythonplant breedingdata scienceagricultural research
- Work arrangement
- Weekend coverage required
Benefits & perks
- Competitive wages
- career development resources
- meaningful innovative projects
- collaborative culture and work-life balance.
Why this role
Graduate student enrollment and a minimum 3.0 GPA are required. Python and/or R proficiency is required; geospatial datasets, GIS, and machine-learning experience are desired.
About the employer
Syngenta Seeds is hiring for this role. Industry: Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology). Sector: 54.
Additional details
- Industry sector
- 54
- Industry
- Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Occupation code
- 19-1029.00
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Listing ID: 11568d8d-f359-4772-ba75-bf7a52c738ed