Description
As a Principal Crop Physiology Scientist at Bayer Crop Science, you will play a key role in leveraging genomic, phenomic, and environmental data to design improved germplasm.
You will lead the delivery of enhanced seed products, data insights, and prescriptions into the Product Development pipeline by utilizing accelerated breeding schemes and innovations in plant and crop physiology, genomics, quantitative genetics, computational biology, and functional genomics.
Your primary responsibilities will include:
- Providing leadership to coordinate the technical strategy for using crop physiology to define novel crop seed product concepts and translate crop and plant physiology insights into breeding goals.
- Leveraging model outputs and advanced analytics to achieve measurable improvement of quantitative traits under selection.
- Acting as a key stakeholder driving strong collaborative relationships with various teams to deliver a robust product pipeline.
- Ensuring meaningful knowledge and data transfer at critical transition points along crop cycle timelines.
- Proactively identifying key opportunities for new technology implementation and process improvement.
- Integrating and leading projects and initiatives with partner teams across world regions.
- Attracting and developing talent, serving as a mentor for peers and colleagues.
- Supporting Health, Safety & Environment, Compliance, Business Conduct, and Human Rights policies and culture.
To be successful in this role, you will need:
- A PhD degree in Quantitative Genetics, Plant Breeding, Crop Physiology, Data Science, or another relevant scientific field with a minimum of 6 years of relevant experience, or a MS degree with 10+ years of experience.
- Demonstrated experience working collaboratively in cross-functional and cross-cultural teams.
- Experience leading and influencing activities of cross-functional teams.
- Ability to lead and influence key stakeholders through challenges and opportunities.
- Results orientation with a demonstrated ability to manage multiple projects and priorities simultaneously.
- Experience in the analysis of large biological data sets.
- Experience with coding in R, Python, or similar software environments.
- Strong collaboration skills and ability to manage complex problems.
The salary range for this position is $123,920.00 - $185,880.00, with additional compensation and benefits including health care, vision, dental, retirement, PTO, and sick leave.