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Syngenta Crop Protection in Stein, Switzerland, is seeking a Postdoctoral fellow in Computational Chemistry to advance molecular design with AI/ML methods integrated with traditional approaches. The role focuses on data-driven discovery of active ingredients and scalable computational workflows in an R&D setting.
The two-year fixed-term contract requires a PhD in computational chemistry or related field, strong design fundamentals, and experience with HPC and modern cheminformatics tools.
Contract
As a world market leader in crop protection, we help farmers protect their crops and ensure enough safe, nutritious and affordable food for all, while minimizing the use of land and other agricultural inputs. Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects and diseases as well as droughts and floods, heat and cold. Syngenta Crop Protection is headquartered in Switzerland.
Health Promotion Switzerland recognizes Syngenta's commitment to the health and well-being of its employees and awards the "Friendly Work Space" label to all its Swiss sites. At Syngenta, employee health and well-being are key to the company.
We are looking for a highly motivated computational chemist to join the Computational Chemistry group at our R&D site in Stein, Switzerland. With strong expertise in computer-aided chemical design and molecular modelling, you will drive innovation in our molecular design processes. As part of your professional development, you will have the opportunity to explore and integrate AI/ML methodologies with traditional computational chemistry approaches to accelerate and improve molecular design of active ingredients. Strong teamwork, excellence in computational design, and the willingness to translate innovative scientific concepts into scalable solutions are essential.
This postdoctoral position is offered on a two-year fixed-term contract.
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