Bayer Sr Quantitative Genetics Scientist Soybean in St. Louis, Missouri
Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.
Sr Quantitative Genetics Scientist Soybean
YOUR TASKS AND RESPONSIBILITIES
The primary responsibilities of this role, Senior Quantitative Genetics Scientist, are to:
Provide leadership to develop, implement and advance quantitative genetics innovations in the Product Design pipeline;
Execute 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;
Support quantitative genetics projects on implementation of Precision Breeding technical innovations in Product Design;
Contribute strong technical 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;
Identify key areas of opportunity for new technology implementation and/or process improvement, while positively contributing to a collaborative, innovative and design-centric culture;
Contribute to multi-function teams across Product Design and partners across other world regions (LATAM, EMEA and APAC) to support innovation projects for Precision Breeding with a key focus on driving genetic gain and product performance through enhanced quantitative genetics development and deployment in at least one crop;
Support the Health Safety and Environment, Compliance, Business Conduct and Human Rights policies and culture in the site.
WHO YOU ARE
Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:
Master of Science with at least eight years of experience in developing quantitative genetics methods for routine use in breeding programs orPh.D. in Quantitative Genetics, Plant Breeding, Animal Breeding or other relevant scientific field with at least four years of relevant experience;
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;
Experienced in analysis of large biological data sets, quantitative genetics, statistical genetics as well as coding experience in C, Fortran or similar languages;
At least four years of experience in deriving quantitative genetics theory for, in coding, in delivering and in utilizing, algorithms and systems for at least two of the areas of breeding program design and optimization, breeding goal definition, optimization of automated crossing processes, genetic evaluation and optimization of data acquisition at scale in plant or animal breeding programs;
Ability to lead and influence key stakeholders through challenges and opportunities;
Results orientation with demonstrated ability to manage multiple projects/priorities simultaneously;
Demonstrated track record of success.
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Location: Chesterfield || United States : Missouri : Chesterfield || United States : Residence Based : Residence Based
Division: Crop Science
Reference Code: 408265