Genomics Data Scientist - #01RPZ

Bayer is seeking a highly motivated Genomics Data Scientist to become an integral member of the Global Breeding Genetic Modeling and Simulation team. This role will be responsible for development and implementation of methods that combine statistical modelling and genomic datasets for phenotype-to-genotype analytics to further precision breeding for tomorrowâ??s crops.

You will have access to state of the art analytics platforms, simulation platforms, historical testing data, genomic and phenomic datasets, and a field testing network. Establishing key relationships and networks across Breeding, Biotechnology, and R&D IT is critical. The outcomes of this work should significantly impact the future design of ongoing breeding programs including pipeline architecture, population selection, field testing strategies, and advancement decisions.

Responsibilities:

• Develop methods and perform analysis that connect genotypes and haplotypes to desired traits in row crop products.
• Develop strategies to fully leverage genomic insights in breeding decisions.
• Key contributor to creation of a database of Monsantoâ??s accumulated germplasm knowledge for breeding decisions
• Key contributor to development, with R&D IT, of internal tools to facilitate both large scale and custom genotype-to-phenotype analytics
• Key contributor to breeding collaborations on gene editing and genome design

• PhD in Quantitative Genetics, Statistics, Evolutionary Biology, Population Genetics, Genomics, Systems Biology, Computational Biology, Applied Mathematics, or related field of study
• Strong problem solving and critical thinking skills
• Working knowledge of complex trait genetics
• Proficiency working with very large data sets and high performance computing
• Demonstrated fluency with Python and/or R
• Experience presenting results to varied audiences & influencing project direction/strategy
• Excellent interpersonal skills and the ability to work effectively in a team-based and cross-functional team environment.

Preferred Qualifications:

• Experience with cloud based computing on AWS
• Proficiency in Machine learning algorithms and concepts
• Experience building relational or graph databases

Bayer successfully completed the acquisition of Monsanto in June 2018, bringing together Monsantoâ??s leadership in seeds and plant traits with Bayerâ??s leadership in chemical and biological crop protection. By joining forces, we will create even more extensive career opportunities for talent around the world. Weâ??re a global team working to shape agriculture through breakthrough innovation that will benefit farmers, consumers, and our planet.

While we are now Bayer, we will continue to hire using separate career sites until we can integrate our career platforms. We invite you to explore the career opportunities available at the combined company by visiting advancingtogether.com/careers.