Job Description
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. To support this mission, Syngenta is seeking a Data Scientist - Environment and Disease Modeling in Field, MN. This role will support the plant epidemiology and disease science within the Temperate Hub R&D organization. This role combines expertise in environmental data analysis, plant disease modeling, and geospatial analytics to advance management across the breeding pipeline. In this role you will build and apply predictive models for environment and disease incidence and severity, link genotypic variation to disease susceptibility, and translate complex biological and environmental signals into actionable insights for breeders and agronomists.
The Data Scientist - Environment and Disease Modeling will partner closely with germplasm development teams, pathologists, and global R&D colleagues to deliver disease resistance insights that directly inform selection decisions—both within a season and across multiple years and environments.
Accountabilities:
Qualifications
** PLEASE NOTE:** Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This includes, but is not limited to, OPT, CPT, and H-1B visa holders.
Desired Qualifications:
Additional Information
What We Offer:
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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WL: 4A