Cotton Quality Testing Lab Lead
Bayer
Summary
Lead all lab work for processing, testing, and analyzing seeds. That work produces the quality data used for product advancement, fit-for-sale decisions, and special projects across Bayer Crop Science North America.
Job description
Your Tasks and Responsibilities
Lead all lab work for processing, testing, and analyzing seeds. That work produces the quality data used for product advancement, fit-for-sale decisions, and special projects across Bayer Crop Science North America.
- Lead seed quality and genetics testing, analysis, and data generation in North America for corn, soybean, cotton, sorghum, and vegetable seeds
- Support up to $8B in commercial fit-for-sale quality decisions
- Provide analysis, data and results for special projects that move production, testing, and product innovation forward
- Build a vision and plan for operational excellence together with partners, and drive changes that improve customer experience, operational performance, and operational discipline
- Model and champion coaching between colleagues, partners, and sites
Who You Are
Bayer seeks an incumbent who possesses the following:
Required Qualifications
- Bachelor's degree
- Strategic mindset, strong decision making, and ability to manage complexity
- Strong collaboration, interpersonal skills, and conflict management skills
- Strong agility and a focus on results
- VACC leadership behaviors
- Strong leader, influencer, and communicator who builds trust
- Ability to develop people and coaches others
- Innovative, critical thinker and culturally aware
Preferred Qualifications
- Bachelor's degree in an agricultural, business, scientific or technical field
- Advanced degree
- 12+ years of relevant experience OR a Master's degree plus 8+ years in lab management, manufacturing, or serving customers, including managing budgets, managing projects and leading teams
- 5+ years in management roles, plus a deep understanding of business processes at a global company
- Experience in lab operations, row crops, and R&D
Requirements
- Bachelor's degree
- Strategic mindset, strong decision making, and ability to manage complexity
- Strong collaboration, interpersonal skills, and conflict management skills
- Strong agility and a focus on results
- VACC leadership behaviors
- Strong leader, influencer, and communicator who builds trust
- Ability to develop people and coaches others
- Innovative, critical thinker and culturally aware
- Bachelor's degree in an agricultural, business, scientific or technical field (preferred)
- Advanced degree (preferred)
- 12+ years of relevant experience OR a Master's degree plus 8+ years in lab management, manufacturing, or serving customers (preferred)
- 5+ years in management roles (preferred)
- Experience in lab operations, row crops, and R&D (preferred)
Benefits
- Health care
- Vision
- Dental
- Retirement
- PTO
- Sick leave
- Relocation may be offered
Company overview
Bayer AG is a global life science company with core competencies in healthcare and agriculture, operating as one of the world's leading pharmaceutical corporations. Founded in 1863 and headquartered in Leverkusen, Germany, Bayer operates through three primary divisions: Pharmaceuticals, Consumer Health, and Crop Science. The company's pharmaceutical segment focuses on prescription products for cardiology, women's healthcare, oncology, hematology, and ophthalmology, with blockbuster drugs including Xarelto, Eylea, and Nubeqa. Bayer's Consumer Health division markets well-known over-the-counter brands such as Aspirin, Aleve, Claritin, and Bepanthen. The Crop Science division, strengthened by the acquisition of Monsanto, provides seeds, crop protection products, and digital farming solutions. With approximately 92,815 employees worldwide and operations in 80 countries, Bayer is committed to its mission of "Health for all, Hunger for none," driving innovation in medical treatments, agricultural productivity, and sustainable development. The company maintains a strong research and development pipeline, investing heavily in areas like precision medicine, artificial intelligence applications in healthcare, and sustainable agricultural technologies.