Computational Agronomy Scientist

Short Summary

Computational Agronomy Scientist with Syngenta Group. 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…

Key Details

• Position / opportunity: Computational Agronomy Scientist
• Organization: Syngenta Group
• Country / coverage: United States
• Location: Durham, North Carolina, United States
• Work arrangement: On-site
• Opportunity type: Jobs
• Sector: Health
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-08-21
• Application deadline: Not specified

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 workstreams 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 workstreams. 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, fitness limitations, and sources of uncertainty. Clearly communicate assumptions, risks, limitations, and the model’s approved domain of validity. Workstream Ownership and Delivery Lead multidisciplinary workstreams spanning multiple projects, teams, geographic locations, and planning cycles. Manage the workstream from initial definition through development, implementation, adoption, and value realization. Identify, negotiate, and sequence dependencies involving teams that do not report directly to the role. Prioritize work based on scientific value, business impact, customer needs, resource constraints, and technical dependencies. Make trade-offs transparent and ensure contributors remain focused on agreed outcomes. Deliver workstreams according to established specifications, quality standards, and deadlines. Confirm that solutions are adopted, produce measurable value, and leave behind sustainable documentation and capability. Scientific and Methodological Leadership Guide advanced experimental, analytical, statistical, and modeling approaches across studies and workstreams. Design or oversee multi-location field studies and evaluate the quality of their resulting data. Assess emerging scientific and computational methods based on evidence and practical agronomic value. Review models, analytical methods, documentation, and code developed by…

Responsibilities

• 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.

Requirements / Eligibility

• , gaps, quality concerns, fitness limitations, and sources of uncertainty.
• Clearly communicate assumptions, risks, limitations, and the model’s approved domain of validity.
• Workstream Ownership and Delivery Lead multidisciplinary workstreams spanning multiple projects, teams, geographic locations, and planning cycles.
• Manage the workstream from initial definition through development, implementation, adoption, and value realization.
• Identify, negotiate, and sequence dependencies involving teams that do not report directly to the role.

How To Apply

Use the Apply now button and follow the instructions on the application page.