Computational Agronomy Scientist

# Computational Agronomy Scientist Syngenta
· Durham, United States## Details

Employer:

Syngenta

Location:

Durham, United States Work type:
In person

Added here:
28 Aug 2026

Listing last seen:
28 Aug 2026

Skills / tags:
weak _title _few _signals

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Apply on employer site## About Company

Description:

About Syngenta At Syngenta Group, we're a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world's most local agricultural technology partner, we create tailor-made solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our welcoming environment and varied perspectives, we pioneer breakthrough solutions for farmers, society, and future generations.

Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all.

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’s IT & Digital Team is seeking a Computational Agronomy Scientist in Durham, NC. This role will lead complex and ambiguous agronomic initiatives from initial problem definition through implementation, adoption, and value realization.

In this senior individual-contributor role, you will:
Solve complex problems across crop growth, physiology, disease, pest epidemiology, nutrition, abiotic stress, and seed placement. Partner with stakeholders to define the right problem, objective, scope, and success measures before work begins. Determine the scientific approach when an established method or solution does not exist. Lead multidisciplinary work streams involving contributors across teams, disciplines, and geographic locations. Ensure the scientific integrity, reproducibility, implementation, and adoption of agronomic models and recommendations.

Develop scientific and technical standards rather than simply applying existing practices. Represent Computational Agronomy in cross-functional, scientific, and external forums. This is a Work Level 5B individual-contributor role. It may include day-to-day direction of interns and contractors but does not include direct line management of employees. Accountabilities:
Scope and Accountability Own the scientific integrity, delivery, adoption, and value realization of assigned work streams. Establish the scientific approach when no existing method adequately addresses the problem. Clearly document assumptions, uncertainty, limitations, and conditions under which a model or recommendation is valid. Develop and advance the domain’s scientific, analytical, modeling, and reproducibility standards. Build relationships with regional, product, platform, commercial, and scientific stakeholders.

Provide onboarding, technical guidance, knowledge transfer, and evidence-based feedback for workstream contributors. Create documentation, processes, and capabilities that remain valuable beyond the individual project or scientist. Problem Framing and Scientific Direction Partner with stakeholders to define the underlying agronomic problem before developing a solution. Challenge requests constructively when the proposed objective or method does not address the actual need. Establish the workstream’s objective, scope, success criteria, deliverables, and scientific boundaries.

Determine the appropriate scientific approach and explain the alternatives considered. Define the model strategy, including calibration protocols, validation methods, performance criteria, and monitoring expectations. Identify data requirements, gaps, quality concerns,…