To support breeding programs in accordance with the Company strategy and in collaboration with a multidisciplinary breeding and research team, the Geneticist, part of the Genetic Research Team, will contribute to :
• Develop and implement molecular breeding methods to optimize breeding workflows
• Develop and implement predictive models to optimize selection and improve genetic gain
• Trait genetic elucidation and trait linked marker delivery

HM.CLAUSE, an international business unit of Limagrain Group, is one of the leading Vegetable Seed Companies specialized in breeding, production and commercialization of innovative varieties for professional growers worldwide. A third of our employees are working in an international and interdisciplinary environment in the R&D division. 

Your primary responsibilities for this position include:
• Developing deep understanding of the crops to ensure successful application of strategies and methods in breeding programs
• Leading or participating to trait discovery projects including planning, design, coordination, and execution in collaboration with a multidisciplinary breeding and research team
• Analyzing large data set including genotypic and phenotypic data and generating predictions models or tools to drive lines or hybrids selection
• Supporting breeding teams to facilitate the implementation of new methods for improvement and optimization of the breeding process such as genomic selection and other marker-based breeding strategies.
• Developing intellectual property protection as appropriate and maintain awareness of intellectual property environment.
• Contributing to research crop strategy
• Preparing and contributing to project documentation, scientific reports, publications, and presentations that clearly convey progress and challenges.

• PhD in Biological Science, in a relevant field of Molecular Breeding or Quantitative Genetics
• 2-5 years of successful experience managing research projects, ideally in private industry
• Experience with molecular breeding and the deployment of strategies used in plant breeding (such as genomic selection)
• Familiarity with large molecular data sets generated with molecular marker and sequencing technologies
• Ability to explain complex analytic and prediction concepts to audiences within and outside of breeding
• Strong background in statistical methods and experimental design
• Fluent with R, JMP software.
• Understanding of Plant Pathology and Plant Physiology is a plus
• Fluent in written and oral English language is essential.
• Spanish and French speaking is a plus