Research Data Associate HF CDI

The Research Data Associate is responsible for managing analyzing and optimizing research and trialing data to support Syngentas 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

• Bachelors or Masters 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 (1020%).
• 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 28000 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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Remote Work :

No

Employment Type :

Full-time