Job Description

About Syngenta

At Syngenta Seeds Field Crops, we're shaping the future of agriculture and empowering farmers to meet the ever-growing demand for food and fuel. We’re a global Ag Tech powerhouse, headquartered in the United States, with passionate, local experts collaborating with farmers to deliver solutions that create market opportunities. We unite precision breeding, advanced biotechnology trait choice, and digital platforms for unmatched in-field performance. Our seeds help mitigate risks such as disease, insect, weed, and extreme weather pressures, all while promoting sustainable farming practices that protect and enhance our planet. Join our mission of revolutionizing food security and transforming agriculture.

The Research Data Associate is responsible for managing, analyzing, and optimizing research and trialing data to support Syngenta’s trialing and product placement activities across Europe. This role ensures data accuracy, develops automated reporting solutions, and drives innovation in digital tools and analytical workflows. The successful candidate will work closely with trialing, product placement, and data scientists to deliver actionable insights, improve operational efficiency, and enable data-driven decision-making.

Responsibilities

Data & Systems Management

• Maintain research databases and ensure accurate, up-to-date trial and registration data (e.g., SPAD/PPS).
• Improve data storage and reduce manual/repetitive data entry; coordinate enhancements with developers.

Reporting & Analytics

• Build and maintain automated dashboards and reports (KPIs, genetic advancement, commercial success, registration budget, trial execution).
• Produce seasonal technical summaries and performance reporting.

Trial & Experiment Support

• Set up and manage experiments and material workflows (e.g., TOPS/MINT) and decision groups (ADAPT).
• Provide GIS/mapping, data visualization, and inputs for trial selection and network adjustment scenarios; share data with partners as needed.

Data Collection, Processing & Automation

• Support and automate phenotypic data collection, validation, and processing (including drone/metroplot alignment and trait quantification).
• Lead automation initiatives for data cleaning, formatting, and analysis readiness.

Tools, Training & Innovation

• Serve as regional expert/trainer for digital tools and processes; test and implement new tools and workflows.
• Support adoption of advanced analytics (including ML/AI where applicable) and maintain SOPs/knowledge base.

Qualifications

Qualifications

Professional Competencies

• Bachelor’s or Master’s degree in Data Science, Agronomy, GIS, Statistics, or related discipline.
• 3+ years of experience in agricultural research data management or analytics.
• Proficiency in database management systems and data visualization tools (Power BI, Tableau, GIS software).
• Experience with experimental design and statistical analysis in agricultural research.
• Familiarity with molecular breeding and phenotyping technologies preferred.

Technical Skills

• Advanced Excel, SQL, and data automation scripting (Python/R).
• GIS mapping and spatial analysis expertise.
• Experience with drone imagery processing and integration.
• Knowledge of machine learning applications in agriculture.

Leadership & Collaboration Skills

• Strong organizational and project management abilities.
• Excellent communication and training skills.
• Ability to work effectively in cross-functional, multicultural teams.
• Problem-solving mindset with focus on innovation.

Additional Information

Work Environment

• Office-based work with occasional travel (10–20%).
• Visits to experimental stations and trial sites.
• International collaboration with diverse teams.
• Operating in a matrix organization.
• Coordination with multi-site and cross-functional teams.
• Close collaboration with breeding, trialing, commercial, and technology platform leaders.

Development & Career Opportunities

• Training in advanced data analytics, GIS, and digital agriculture tools.
• Participation in international conferences and workshops.
• Opportunities for cross-regional project involvement.
• Senior Data Analyst roles in R&D.
• Digital Agriculture Technology Specialist.
• Global Data Governance or Analytics Leadership positions.

Who We Are

Syngenta is a leading agriculture company dedicated to feeding the world and improving global food security by enabling millions of farmers to make better use of available resources. We are committed to rescuing land from degradation, enhancing biodiversity, and revitalizing rural communities. We have 28,000 people in over 90 countries working to transform how crops are grown.

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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