Research Data Associate at Syngenta Group

Budapest, Central Hungary, Hungary -

Full Time

Start Date

Immediate

Expiry Date

14 Apr, 26

Salary

0.0

Posted On

14 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, SQL, Data Analysis, Reporting, GIS, Phenotyping, Machine Learning, Statistical Analysis, Project Management, Communication, Collaboration, Automation, Digital Tools, Innovation, Problem Solving

Industry

Farming

Description

Company Description 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. 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. 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. Key Responsibilities 1. Data & Database Management Maintain high-quality research and trialing databases. Use SQL to retrieve, combine, and transform data from multiple sources. Connect diverse databases to support analytical projects. Automate data processes to reduce manual work, duplication, and errors. 2. Reporting & Analytics Analyze trialing and research data with product placement and agronomy experts. Develop and maintain automated dashboards and reports combining multiple data sources. Support assessment of commercial performance, genetic progress, registration status, and budget tracking. Translate complex data into clear, actionable insights. 3. Experiment & Trial Support Act as a key expert for experiment creation, material management, and experimental design. Support GIS analysis, spatial visualization, and data interpretation. Ensure experiments follow statistical and agronomic best practices. Serve as a regional contact for digital research tools and liaise with software development teams. 4. Data Collection & Processing Support and pilot advanced phenotyping solutions (robots, drones, sensors). Analyze and interpret phenotypic data (e.g. plant populations, herbicide injury, stress indicators). Contribute to protocols and scalable, automated data collection workflows. Support adoption of data science, big data, and AI-based approaches in agricultural research. 5. Digital Tools & Innovation Act as regional tools expert and trainer for product placement and trialing teams. Test, validate, and implement new digital tools (e.g., SAP thresholds, phenotyping fleet management). Propose improvements to experimental designs and workflows. Manage phenotyping equipment and coordinate drone data acquisition. Support adoption of machine learning and AI-based analysis. Qualifications 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 agronomy & 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 What we offer: Dynamic and international team with great atmosphere Possibilities to learn and grow High quality office environment Hybrid work (office and home) 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. #LI-Hybrid

Responsibilities

The Research Data Associate is responsible for managing, analyzing, and optimizing research and trialing data to support trialing and product placement activities. This role includes ensuring data accuracy, developing automated reporting solutions, and driving innovation in digital tools and analytical workflows.