Syngenta

About the Company

Syngenta is one of the world’s leading agriculture companies. Our ambition is to help safely feed the world while taking care of the planet. We aim to improve the sustainability, quality and safety of agriculture with world class science and innovative crop solutions. Our technologies enable millions of farmers around the world to make better use of limited agricultural resources. Syngenta is part of Syngenta Group with 53,000 people in more than 100 countries and is working to transform how crops are grown. Through partnerships, collaboration and The Good Growth Plan we are committed to accelerating innovation for farmers and nature, striving for carbon neutral agriculture, helping people stay safe and healthy and partnering for impact. To learn more visit www.syngenta.com and www.goodgrowthplan.com. Follow us on Twitter at www.twitter.com/Syngenta.

Listed Jobs

Company Name

Syngenta

Job Title

Application Lead Seedcare Institute

Job Description

**Job Title:** Application Lead Seedcare Institute **Role Summary** Lead the design, execution, and commercialization of Seedcare seed‑treatment formulations, ensuring optimal product performance across laboratory, pilot, and commercial field operations. **Expectations** Deliver end‑to‑end application strategy, from formulation development through stakeholder training, while maintaining technical excellence and facilitating cross‑functional collaboration for product launch and ongoing support. **Key Responsibilities** - Design and validate seed‑treatment formulations for laboratory and field trials. - Operate and optimize seed‑treatment recipes in commercial facilities. - Provide technical direction to formulation development teams for new product introductions. - Liaise with seed companies, treaters, planter manufacturers, and suppliers of polymers/colorants. - Develop and present product performance data for marketing materials. - Troubleshoot customer inquiries on application and planting. - Deliver training to commercial treaters and internal stakeholders. - Manage projects with external seed partners on seed safety, synergy, and performance assurance. - Coordinate with National Account Managers and key accounts on commercial strategy. **Required Skills** - Strong technical acumen in application technology and chemistry. - Knowledge of agricultural equipment, especially planters/drills and seed‑treatment machinery. - Excellent written and verbal communication across all organizational levels. - Ability to translate complex technical data into clear, concise messages. - Proficient presentation and public speaking abilities. - Strong stakeholder management and collaborative skills. - Familiarity with crop protection products and seed industry preferred. **Required Education & Certifications** - Bachelor’s degree in chemical or mechanical engineering, chemistry, materials science, or related field (Master’s preferred). - Minimum 5 years of relevant technical experience. - Valid driver’s license (eligible to work in Canada). - Validities for domestic and international travel up to 20%.

Plattsville, Canada

On site

Senior

22-12-2025

Company Name

Syngenta

Job Title

Data Science Intern

Job Description

Job Title Data Science Intern Role Summary Assist data scientists in developing machine learning solutions for plant breeding. Handle data acquisition, cleaning, feature engineering, model training and evaluation, unit testing, and deployment in cloud environments. Deliver insights to both technical and non‑technical stakeholders. Expectations - Complete tasks within a short internship period (e.g., summer). - Demonstrate proficiency in Python, SQL, and ML libraries. - Produce documented, test‑covered code suitable for production. - Present findings clearly to diverse audiences. Key Responsibilities - Query, clean, and preprocess large heterogeneous datasets. - Engineer features and build predictive models with LightGBM, XGBoost, scikit‑learn, and PySpark. - Tune hyper‑parameters and assess model performance. - Write unit tests using pytest or unittest for data‑science code. - Collaborate in deploying models to cloud‑based production pipelines. - Document processes and present results to technical and non‑technical stakeholders. - Participate in team meetings and project planning. Required Skills - Python programming with libraries: LightGBM, XGBoost, scikit‑learn, PySpark. - SQL for data querying and manipulation. - Experience with data cleaning, feature engineering, and ML model development. - Unit testing in Python (pytest, unittest). - Strong analytical, problem‑solving, and communication skills. Required Education & Certifications - Enrolled in or recently graduated from a Bachelor’s or Master’s program in Data Science, Computer Science, Statistics, Mathematics, or related field. - Coursework in data science, statistics, and linear algebra. - No specific certifications required.

Durham, United states

On site

Fresher

14-01-2026

Company Name

Syngenta

Job Title

Bioinformatician

Job Description

Job Title: Bioinformatician Role Summary: Execute and develop advanced bioinformatics pipelines for microbes and multi‑omics data to support discovery and optimization of biological plant protection agents. Expectations: Deliver reproducible, high‑quality microbial genomic and omics analyses; contribute to pipeline design, documentation, and technical direction; mentor junior scientists; collaborate cross‑functionally; adopt AI and automation to scale workflows. Key Responsibilities: • Design, prototype, and maintain scalable bioinformatics pipelines (Nextflow, Python/R). • Perform assembly, binning, quality assessment, annotation, and phylogenomics for microbial genomes. • Analyze metagenomics, pangenomics, and multi‑omics datasets to identify candidate species, genes, biosynthetic clusters, and metabolic pathways. • Curate and manage large omics datasets for biomarker, mode‑of‑action, and trait discovery. • Advise discovery teams on candidate prioritization and experimental designs. • Automate workflows, integrate AI tools, and document reproducible standards. • Support data‑driven change management and knowledge transfer to business users. Required Skills: • Proficiency in Python and/or R; experience in Linux. • Deep knowledge of microbial genomics, metagenomics, pangenomics, functional annotation, metabolic pathway analysis, biosynthetic gene cluster detection, phylogenomics, taxonomy, assembly, binning, quality metrics. • Expertise in workflow orchestration (Nextflow or similar). • Ability to incorporate agentic AI in analysis pipelines. • Strong quantitative skills, problem‑solving, and scientific rigor. • Excellent communication and collaboration in multidisciplinary teams. Required Education & Certifications: • MSc or PhD in Bioinformatics, Computational Biology, Microbiology, Genomics, Natural Products Biochemistry, or a related field. • Minimum 3 years of industry or academic experience analyzing microbial and multi‑omics datasets.

Bracknell, United kingdom

Hybrid

Junior

27-01-2026

Company Name

Syngenta

Job Title

Data Scientist Biologicals Research

Job Description

Job title: Data Scientist – Biologicals Research Role Summary: Apply advanced machine‑learning and statistical techniques to large‑scale omics, phenotypic and environmental datasets to discover, optimise and predict biological solutions for plant protection. Drive the integration of data‑driven insights into research workflows and product development, translating complex analyses into actionable recommendations for scientists and stakeholders. Expectations: - 3+ years of applying ML to complex biological or agricultural data. - MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics or related natural science. - Proven experience with large omics datasets, multivariate statistics and data visualization. - Strong programming in Python and/or R, UNIX/Linux proficiency, and familiarity with ML frameworks. - Ability to communicate findings to technical and non‑technical audiences and to collaborate with cross‑functional teams (IT, software developers, business users). Key Responsibilities: - Map and understand the Biologicals data landscape and experimental capabilities. - Design, evaluate and implement new analytical tools and models for biomarker, mode‑of‑action and trait discovery. - Curate and maintain high‑quality omics datasets, ensuring data quantity and integrity for analysis. - Shape and communicate Biologicals data‑analysis strategy, fostering innovation and knowledge sharing. - Partner with R&D IT and software developers to deploy predictive models and improve data‑science applications. - Support change‑management initiatives to enhance data‑use practices across stakeholders. Required Skills: - Machine‑learning algorithm development and validation. - Multivariate statistical analysis. - Python and/or R programming, with experience in data‑analysis libraries (pandas, scikit‑learn, Bioconductor, etc.). - UNIX/Linux command‑line proficiency. - Data‑visualisation tools (ggplot2, matplotlib, Seaborn, etc.). - Handling of large, complex datasets; data‑cleaning, preprocessing, and feature engineering. - Strong written and verbal communication. Required Education & Certifications: - MSc or PhD in Data Science, Statistics, Machine Learning, Computational Biology, Bioinformatics, or related field. - 3+ years of industry or research experience applying ML to biological, biochemical or agricultural datasets.

Bracknell, United kingdom

Hybrid

Junior

27-01-2026