Jobs at Syngenta Group

Execute genotyping lab protocols including tissue reception, DNA extraction, library preparation, PCR, and sequencing. Maintain sample identity, operate liquid handlers and grinders, update LIMS, support equipment maintenance, train contractors, and contribute to process improvements and cross-team troubleshooting in a fast-paced agricultural biotech lab.

Lead design, prototyping, and deployment of end-to-end automation systems for Seeds R&D. Develop vision-guided pick-and-place systems, integrate robotics and PLCs, perform CAD/FEA design, build and test prototypes, collaborate cross-functionally, manage projects with Agile, and produce technical documentation and SOPs.

Execute and manage daily operational tasks in controlled-environment agricultural research, including data collection, plant care, pollination, inventory, compliance, training seasonal staff, and process improvements.

Provide transactional and compliance legal support to NAJAK Vegetable Seeds, advising on distribution/collaboration agreements, IP, quality claims/litigation, data privacy, product liability, and real estate; deliver training, coordinate with internal/external stakeholders, and support corporate legal projects for the BU.

Design, build, and deploy mathematical optimization and operations research solutions (LP, MIP, NLP, CP) for Seeds R&D. Integrate models into digital systems, prepare and cleanse data, validate via testing and simulation, define KPIs, lead projects, and communicate insights to stakeholders while following engineering best practices.

Support Trialing Manager to execute research-level corn, soybean, and wheat yield trials: planting, maintenance, spraying, phenotyping, harvesting, operating precision ag equipment, supervising contract labor, and ensuring data quality, safety, and timely communication.

Lead and manage controlled-environment operations for seed production, set KPIs, oversee policies and budgets, mentor teams, implement new technologies, manage risks and vendor relationships, and drive cross-functional projects to meet breeding pipeline objectives.

Lead strategic direction and delivery of an integrated product advancement and placement program, translating plant-breeding science and decision science into deployable digital workflows. Manage multidisciplinary teams, prioritize roadmaps, partner with IT and R&D stakeholders, and ensure measurable business outcomes through scalable analytics and decision-science solutions.