Genomics Data Scientist – #01RPZ

Job Listing No: 9740000

Genomics Data Scientist – #01RPZ

Bayer is seeking ahighly motivated Genomics Data Scientist to become an integralmember of the Global Breeding Genetic Modeling and Simulation team. This rolewill be responsible for development and implementation of methods that combinestatistical modelling and genomic datasets for phenotype-to-genotype analyticsto further precision breeding for tomorrow???s crops.  You  will have access to state of the art analyticsplatforms, simulation platforms, historical testing data, genomic and phenomicdatasets, and a field testing network.  Establishing key relationships andnetworks across Breeding, Biotechnology, and R&D IT is critical.  Theoutcomes of this work should significantly impact the future design of ongoingbreeding programs including pipeline architecture, population selection, fieldtesting 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 Monsanto???s
accumulated germplasm knowledge for breeding decisionsKey contributor to development, with R&D IT, of
internal tools to facilitate both large scale and custom
genotype-to-phenotype analyticsKey contributor to breeding collaborations on gene
editing and genome designQualifications:Minimum Qualifications:PhD in Quantitative Genetics, Statistics, Evolutionary
Biology, Population Genetics, Genomics, Systems Biology, Computational
Biology, Applied Mathematics, or related field of studyStrong problem solving and critical thinking skillsWorking knowledge of complex trait geneticsProficiency working with very large data sets and high
performance computingDemonstrated fluency with Python and/or RExperience presenting results to varied audiences &
influencing project direction/strategyExcellent 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 AWSProficiency in Machine learning algorithms and conceptsExperience building relational or graph databases Bayer successfully completed the acquisition ofMonsanto in June 2018, bringing together Monsanto???s leadership in seeds andplant traits with Bayer???s leadership in chemical and biological cropprotection. By joining forces, we will create even more extensive careeropportunities for talent around the world. We???re a global team working to shapeagriculture through breakthrough innovation that will benefit farmers,consumers, and our planet. Whilewe are now Bayer, we will continue to hire using separate career sites until wecan integrate our career platforms. We invite you to explore the careeropportunities available at the combined company by visiting advancingtogether.com/careers.

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