The primary responsibilities of this role, Principal Quantitative Genetics Process Scientist, are to: Provides leadership to develop, implement and advance quantitative genetics innovations and processes in the Product Design pipeline; Executes the quantitative genetics technical strategy to design improved cohorts of germplasm that are aligned with Product Concept targets from initial crossing through the handoff to Product Development; Leads quantitative genetics projects on implementation of Precision Breeding technical innovations in Product Design; Contributes strong technical and process expertise in coding, delivering, and utilizing models, algorithms and systems for breeding program design and optimization, breeding goal definition, optimization of automated crossing processes, genetic evaluation, and optimization of data acquisition at scale; Attracts and develops talent and serves as a mentor for peers or colleagues in key areas of expertise that support personal development; Identify key areas of opportunity for innovative technology implementation and/or process improvement, while positively contributing to a collaborative, innovative, and design-centric culture; Integrate and lead multi-function teams across Product Design and partners across other world regions (LATAM, EMEA and APAC) to support innovation projects for Precision Breeding; Focus on driving genetic gain and product performance through digital transformation and innovative technology development and deployment; Support the Health Safety & Environment, Compliance, Business Conduct and Human Rights policies and culture in the site. Bayer seeks an incumbent who possesses the following: Required Qualifications: Master's degree in Quantitative Genetics, Plant Breeding, Animal Breeding, Computer science or other relevant scientific field; Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals; Demonstrated experience leading and influencing activities of cross- functional teams without direct reporting relationships; Ability to lead and influence key stakeholders through challenges, opportunities, and facilitate solutions; Results orientation with demonstrated ability to manage multiple projects/priorities simultaneously; Experienced in building and operating processes for the analysis of analysis of large biological data sets, quantitative genetics, statistical genetics, as well as coding experience in C, Fortran, R or similar languages; Strong collaboration and ability demonstrated through building cross- functional partnerships and influencing others to drive results and innovation focused on solving business problems; Demonstrated ability to manage complex problems.