AI-Driven Computational Agronomy Scientist

Computationaldesign

Durham (NC)

Hybrid

USD 120.000 - 160.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

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Benefits dieser Stelle

Medical, Dental & Vision
401k with company match
Paid vacation
Education assistance

Zusammenfassung

Syngenta’s IT & Digital Team in Durham, NC seeks a Computational Agronomy Scientist to lead complex agronomic initiatives from problem definition through implementation and value realization. You will collaborate with stakeholders to define objectives, select appropriate scientific approaches, and ensure reproducible, impactful results across multidisciplinary teams.

The role emphasizes scientific leadership, modeling, and governance of data-driven agronomic decisions, with opportunities to

Qualifikationen

  • Master’s degree in agronomy or related field; PhD preferred.
  • 5+ years in agricultural research, digital agronomy, modeling, or decision support.
  • Strong proficiency in Python and/or R with applied statistics and AI/ML methods.

Aufgaben

  • Lead complex agronomic initiatives from problem definition to value realization.
  • Define models, calibration protocols, validation, and performance criteria.
  • Collaborate across teams and geographies to ensure reproducibility and adoption of workstreams.

Kenntnisse

Python
R
AI/ML

Ausbildung

Master’s degree in Agronomy/Crop Science
PhD preferred

Tools

DSSAT
APSIM
SageMaker

Jobbeschreibung

Syngenta’s IT & Digital Team in Durham, NC seeks a Computational Agronomy Scientist to lead complex agronomic initiatives from problem definition through implementation and value realization. You will collaborate with stakeholders to define objectives, select appropriate scientific approaches, and ensure reproducible, impactful results across multidisciplinary teams.

The role emphasizes scientific leadership, modeling, and governance of data-driven agronomic decisions, with opportunities to

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