Genome Editing Scientist
YOUR TASKS AND RESPONSIBILITIES
In this role you will contribute to the discovery and development of an industry leading genome editing toolbox. This role encompasses end-to-end invention and deployment of novel genome editing tools, including CRISPR technologies. Scientific aims will be accomplished through robust teamwork. You will work in a system of diverse and empowered teams to contribute to our mission of Health for All and Hunger for None.
The primary responsibilities of this role, Genome Editing Scientist, are to:
Design, conduct, and interpret genome editing CRISPR and other tool experiments, including molecular, biochemical, in vitro, and cell analyses;Plan and execute experiments to develop alternative editing delivery methods;Drive invention of new and optimized genome editing tools;Develop and implement research and outcome-driven proposals;Interpret and analyze large datasets utilizing data science skills;Be accountable for cross-functional work in multiple R&D project teams;Effectively summarize and communicate research findings to stakeholders through written reports and presentations for internal and external stakeholders;Seek collaboration with colleagues in other functions and departments to solve problems;Extract new developments from the scientific literature to aid in problem solving;Contribute a sustained high level of technical skill and achievement.
WHO YOU ARE
Bayer seeks an incumbent who possesses the following:
Required Qualifications:
B.S. with relevant experience;Background or applied experience in plant development, molecular biology, and genetics;Track record of collaborating with diverse levels and functions to execute common vision;Communication skills with fluency in English, both verbal and written;Proven track record of transparent communication and data sharing across teams;Strong ability to conduct research and solve complex problems;Skilled at prioritizing experiments to align with enterprise needs;Proficient in generating, manipulating, and interpreting large datasets.
Preferred Qualifications:
Ph.D. in biological sciences; ORM.S. with a minimum of 4 years of relevant experience; ORB.S. with minimum of 8 years of relevant experience;Experience with advanced mathematical models, deep learning, machine learning methods and model selection concepts.
This posting will be available for application until at least September 17, 2025.
Relocation may be offered for this role.
Employees can expect to be paid a salary between $86,394.40 to $129,591.60. Additional compensation may include a bonus or commission (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.
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 Science for a better life, 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.