Breeding Design Scientist Job in Bayer

• Exploration of haplotype data and germplasm to map haplotypes for key traits for different APAC markets
• Working on haplotype explorer tools and identification of key haplotypes. Report preparation and sharing with pipeline breeders and discovery teams for use in breeding programs
• Supporting pipeline breeding and discovery team to formulate plan to introgress key haplotypes in XDs and develop breeding populations
• Understanding the global germplasm mining and GWAS strategy and develop a similar plan for Asia germplasm and allele mining
• Working with discovery scientists to build a hap catalogue for Asia and tropical germplasm
• GWS model accuracy review and action item planning with breeding and APD. Implementing plans to improve accuracy for all APAC pipelines
• Data quality check
• Periodic GWS model retraining plan implementation coordination with breeding and APD. Incorporation of negative selections for better model performance
• Working with plant health, discovery and breeding teams to explore plant health native traits and plan to incorporate them in GWS model
• Model performance review and execution to enhance selection efficiency
• GWS fate analysis using historical selections and support pipeline breeders for decision making
• Making GWS implementation plan and timeline mapping for rice in coordination with pipeline breeders, discovery and APD. Phenotypic data review, quality check. Model performance review and improvement planning
• Planning and implementation APAC origin prediction model for different APAC pipelines
• Coordination with pipeline breeders and APD to use appropriate data for origin prediction, review and quality check
• Model performance review and performance analysis of SC2 and stage less models. Working with breeding and APD teams to improve model accuracy
• Fate analysis and model performance review
• Action item preparation for in time model retraining
• Execution of long term predictive analytics strategy for Rice (cotton)
  

Required Candidate profile

• PhD in quantitative/statistical genetics or plant breeding or animal breeding with expertise in the field of data science, analytics.
• Working expertise in R programming language is desirable
• 3+ years of experience in data science, discovery breeding or related field
• Handling of genetic marker data, large phenotypic data, haplotype database will be added advantage
• Ability to deliver innovative and creative solutions to complex problems. Ability to think and develop innovative information systems.
• Independent, self-motivated and assertive with a results orientation.