Principal Quantitative Genetics Process Scientist

Principal Quantitative Genetics Process

YOUR TASKS AND RESPONSIBILITIES

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.

WHO YOU ARE

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.

Preferred Qualifications:

• Demonstrated track record of success and 6+ years of experience in deriving quantitative genetics theory, in coding, in delivering and in utilizing models, algorithms and systems for at least three of the following areas: (I) breeding program design and optimization; (ii) breeding goal definition; (iii) optimization of automated crossing processes; (iv) genetic evaluation; (vi) optimization of data acquisition at scale in plant or animal breeding programs; and (vii) execution of quantitative genetics processes at scale in plant or animal breeding programs;
• Ph.D. degree in Quantitative Genetics, Plant Breeding, Animal Breeding, or other relevant scientific field;
• 6-10+ years of experience in developing quantitative genetics methods and processes for routine use in breeding programs.

This posting will be available for application until at least X.

Employees can expect to be paid a salary between $120,560.00 to $180,840.00. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc. This salary range is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.