Key Responsibilities: Utilize crop modelling methodologies to identify and test novel product concepts and enhance selection strategies in response to environmental stress.Plan and support several corn and sunflower research programs with advanced analytics. Key responsibilities will include genomic breeding across several breeding pipelines. This role implies hands-on analysis, advanced breeding, training, and field activity.Leverage enabling breeding technologies to drive product development improvements.Develop tools and advance novel methodology useful for the development of new hybrids.Develop and deploy selection strategies for multi-trait selection of traits of interest.Work both independently and as a member of a regional team to deliver products.Location: To Grow What Matters, You Will Need: Qualification in M.Sc or PhD in Plant Breeding, Quantitative and/or Statistical Genetics or a related field. The candidate should have extensive experience in crop physiology, quantitative/statistical genetics, genome wide prediction methodology, in silico breeding, relevant genotyping technology, field research processes and data analytics.Comprehensive knowledge and applied research experience in plant genetics or plant breeding.Proficiency in utilizing and building software tools used for data analytics.Strong motivation to solve scientific questions by deeply analyzing phenotypic and genetic information and deliver tangible results in a fast-paced, team-oriented environment.Ability to work in an independent, self-directed manner with creative problem-solving skills and a drive for innovation.Strong organizational skills to plan and coordinate experiments across projects and the ability to effectively share results across the organization.Strong verbal and written communication skills in English and a proven ability to work well in a multicultural team environment.Excellent personal interaction skills required for effectively developing strong internal and external working relationships with a diverse group of people.
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