Description
At Bayer Crop Science, we're seeking a Senior Trait Definition Scientist to drive an impactful gene editing program through the identification, documentation, and prioritization of key plant phenotypes.
As a Senior Trait Definition Scientist, you will work with a diverse set of teams and data inputs to develop roadmaps that deliver meaningful impact of gene editing for crop improvement, leveraging some of the industry's most extensive and global agriculture and genetic datasets.
Your primary responsibilities will include:
- Developing and documenting recommendations for trait targets for gene editing that are guided by business impact and aligned with product and portfolio needs.
- Guiding connectivity between germplasm development targets and gene editing priorities to ensure that editing strategies translate into improved seeds and traits.
- Developing robust workflows that enable cross-team communication, decision making, and iterative prioritization to shape research direction and resource allocation.
- Identifying novel opportunities to utilize gene editing to impact the development of new seeds and traits products, leveraging emerging science and data-driven insights.
- Leading or assisting in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&D) teams.
- Actively building and expanding networks within the Crop Genome Editing team and across functions, serving as a consultant to leadership and partners in your area of expertise.
- Contributing to the Biology and Genome Design community by continuously developing your own capabilities and sharing best practices, tools, and learnings with colleagues.
To be successful in this role, you will need to possess a PhD in Biological Sciences, Plant Breeding, Plant Sciences, Genetics, Developmental Biology, or a related field, and at least 4 years of post-PhD experience working in gene editing, germplasm improvement, or closely related fields.
You will also need to have excellent communication skills with fluency in English, both written and verbal, and experience defining the collection, organization, analysis, and use of complex biological datasets and translating them into testable hypotheses.
Additional compensation may include a bonus or incentive compensation (if relevant).
This posting will be available for application until at least April 20, 2026.