Research Associate Hybrid Barley (f/m/d)
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As part of our activities in Bad Salzuflen Germany, Syngenta is looking for a: Research Associate Hybrid Barley (f/m/d) Role purpose: The Barley Research Associate assists and supports the Barley Pipeline Scientist in all aspects of breeding pipeline progression - in the execution, implementation and management of breeding projects in the field and in the greenhouse, such as ( pre-) selections and crossbreeding trials. Responsibilities/main tasks: Breeding program management: responsible for the technical organization of sowing, TOPS trials creation, breeding field management, coordination of the harvest and sowing preparation. Management of Purity MATS files and selection- A, B & R (PLP-2, PLP-1, PLP). Managing MATS before GS- Pre selections. Undertaking F1s & F2s checks, ensuring DH quality control. Lists delivery and communication with DEBS operations, greenhouses Material identity coding, material creation. Hybrid production plan & seeds orders (Proseeds) Undertake DEBS field pre-selections, record scores. Data and breeding material management: Recording and input of breeding data, further development of breeding plant material from stage to stage including material management in planning, breeding and material tracking tools People management: Instruction and breeding support of the operational team as well as content training of the technical-operational as well as seasonal staff Finance/Budget: Works within the budget-driven framework for breeding program and operations. Knowledge and experience expected: Master of Science (or equivalent) in Plant Breeding, Agronomy, Biology, or a related field. Deep knowledge of breeding methodologies, agronomy, and the barley market/quality profiles. Extensive hands-on experience in managing both field and greenhouse trials, from setup to execution. Fluency in English and German (written/spoken) and the ability to collaborate effectively with regional teams and stakeholders. Strong analytical skills and proficiency in using databases and MS Office for processing large datasets. Structured, independent, and stress-resistant work style with a focus on precision and priority setting.
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