Genome Editing Scientist Delivery

technology

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Salary $ On request
Location Chesterfield, MO
Work Type On-site
Employment Type Full Time
Posted On May 7, 2026
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Job Description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where ‘Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice. Genome Editing Scientist Delivery You will focus on advancing cutting-edge genome editing and delivery technologies, with a particular focus on alternative in-planta delivery approaches that expand germplasm-independent (genotype-agnostic) access and reduce reliance on conventional tissue culture and stable transformation; Working within the innovative Crop Genome Editing team, you will help create next-generation editing capabilities that drive our mission of developing resilient and sustainable agricultural solutions, and advance our mission of “Health for All and Hunger for None” through transformative genome editing capabilities. YOUR TASKS AND RESPONSIBILITIES The primary responsibilities of this role are to: * Lead, design, and execute research projects to develop and optimize alternative in-planta delivery methods for genome editing cargo in crop plants; * Design and execute experiments to evaluate DNA-free and/or tissue culture–independent approaches for introducing molecular cargo into plant cells and reproductive tissues; * Develop, document, and transfer fit-for-purpose protocols that enable robust, germplasm-independent performance across diverse genetic backgrounds and experimental conditions; * Evaluate and optimize methods intended to bypass common limitations in traditional transformation and regeneration systems (e.g., genotype dependence, lengthy timelines); * Benchmark emerging…

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