Scientist - Statistical Geneticist

Key Responsibilities

• Defining and implementing efficient phenotyping tools for GHG   through direct and indirect approaches
• Design efficient genotyping schemes   both GWAS to unravel genomic regions for GHG and their ration integration in the implementation of related breeding programms
• Understand   current work on Livestock genetics, implement new analytical approaches accounting for crossbreeding effects at both phenotypic and genetic level
• Enlarge portfolio of research to incorporate resilience and increase adaptive capacity of livestock given climate change
• Explore areas of synergy with the Mazingira center and  feed resource  group

Requirements

• PhD in animal genetics and genomics 
• 5 + years in genetic models, genomics and working with large data and 5+ years professional experience post PhD in related topics.
• Experience working on and with teams whose focus are on Livestock breeding programs for low and Medium tropical countries.
• A significant record of achievement in science, evidenced by high quality publications, leadership of projects and teams, success in fund raising.
• Demonstrated experience of research for development applied to the genetics and genomics in Africa
• Good computing skills and experience with variety of software for animal genetics and genomics
• Excellent communication skills, both written and verbal, with the ability to work collaboratively in a multidisciplinary team.
• Strong analytical and problem-solving skills, with the ability to apply these in research and practical contexts.
• Excellent communication skills, both written and verbal, with the ability to work collaboratively in a multidisciplinary team.
• Strong analytical and problem-solving skills, with the ability to apply these in research and practical contexts.
• Proficiency in French would be desirable.