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. Principal Genome Editing Target Design Scientistist Position Overview Bayer Crop Science's mission is to sustainably enhance agricultural productivity by seamlessly integrating gene editing and digital technologies, empowering farmers to meet the world's growing food demands while safeguarding the environment. As a key player, you will coordinate an impactful gene editing program by identifying gene editing targets and alleles that result in desired phenotypic impacts. You will work with a diverse set of data inputs to develop genotype-to-phenotype predictions using the industry’s most extensive and global agriculture and genetic datasets. You foster new game-changing ideas to produce sophisticated insights that leverage rapidly developing datasets and model-based approaches to guide genome editing and crop improvement efforts. As an individual contributor, you will collaborate with other Data and Trait Scientists within a team. YOUR TASKS AND RESPONSIBILITIES: Independently design and validate scientific frameworks to produce, document, and prioritize alleles with desired phenotypic impacts; Conceptualize and deploy state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance; Design, implement, and champion advanced workflows and analysis pipelines for cross-team communication, decision-making, and iterative learning; Design and deliver methods for capturing complex genetic interactions and the influence of variation on observed phenotypes for current and future gene editing pipelines; Lead and develop strategies for gathering, curating, quality control, and analysis of new data sources across Research and Development (R&D) teams; Serve as a thought leader for target design strategies using diverse large datasets. WHO YOU ARE: Bayer seeks an incumbent who possesses the following: Required Qualifications: PhD in Biological Sciences, Computational Biology, or related field; At least 6 years of experience since PhD in gene editing, functional genomics, or related fields. Preferred Qualifications: Educational preparation or applied experience in Plant Biology, Genetics, Molecular Biology, Machine/Deep Learning, or other related disciplines; Excellent communication skills with fluency in articulating complex scientific concepts. Employees can expect to be paid a salary between $120,560.00 - $180,840.00 Additional compensation may include a bonus or incentive compensation (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. This posting will be available for application until at least June 17, 2026. YOUR APPLICATION Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer. To all recruitment agencies: Bayer does not accept unsolicited third party resumes. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders. Bayer is an E-Verify Employer. Location:United States : Missouri : Chesterfield || United States : Residence Based : Residence Based Division:Crop Science Reference Code:865499 Contact Us Email:[email protected]