Breeding Design Implementation Scientist Job in Bayer

PURPOSE:

Leads the development of digital Advancement Playbooks and Advancement Thresholds to implement playbook driven line and hybrid prescription and implementation of Auto advancement of pipeline with no-touch for all APAC pipeline across corn, Rice, Cotton, Peral Millet and Mustard crops

Develop GBLUP, HBLUP, COGs BLUP, Plant health BLUP, prediction reports and drive product concept driven pipeline advancement for all APAC pipelines for Corn, Rice, Cotton, Pearl Millet and Mustard. Maintain, update and curation of digital pipeline for all crops. Build and support advancement and local analysis need for all crops

WHAT YOU DO:

• Develop and implementation of digital advancement pipeline for all screening and PCM stages to ensure long term genetic gain in alignment with the product concepts. Development of product concept driven advancement thresholds for APAC pipelines.
• Coordination with breeding and APD to implement Eva line and hybrid prescription for all APAC pipelines
• Historical data and advancement decision exploration to develop data driven trait weightage in coordination with APD and breeding
• Prescription model evaluation and recommend improvements with End to end playbook driven advancement workflow management for all APAC crops
• Work with APC, APD, Plant Health, SPR and SPPD to ensure all data and reports needed for product advancement
• Maintenance and support for report generation, alignment with advancement templet, Eva prescriptions. Make sure GBLUP, HBLUP, SC2 BLUP, COGs BLUP, Plant Health BLUPs are available in time for advancement
• Maintenance and curation of digital pipeline/Horizon, checkmate. Timely decision transfer
• Coordination with APD to support short term analytics need for rice, cotton, pearl millet and mustard. BLUP report, pathology report generation
• Deployment of tools and software for data management, and statistical field testing analysis. Provide effective training and guidance to implement best practices
• Accountable and responsible for data management, data curation, and data integrity/quality across all APAC crops and pipelines
• Provide data analytics to be presented in standard visualizations and reporting that enable timely key decisions, with agile learning for new methods
• Support Breeding and Field Testing teams to improve data quality and completeness as it relates to QA QC, plot designs, testing location information
  

Required Candidate profile

• PhD in genetics or plant breeding or animal breeding or bioinformatics with expertise in the field of data science, analytics.
• MS genetics or plant breeding or animal breeding or bioinformatics with 2 years of experience in breeding data management and analytics
• Working expertise in programming language is desirable
• Handling of genetic marker data, large phenotypic data, haplotype database will be added advantage
• Proven program management skill is desirable
• Ability to work in a matrix environment, influencing people at varying levels of responsibility, collaborating effectively in interdisciplinary teams

• Ability to deliver innovative and creative solutions to complex problems.