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Genomics Editing Target Design Scientist

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Genomics Editing Target Design Scientist




YOUR TASKS AND RESPONSIBILITIES


You will work collaboratively to identify gene editing targets and prescribe alleles that are expected to have desired phenotypic impact. Also, 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. Additionally, you will foster new game changing ideas to produce sophisticated insights that can leverage rapidly developing datasets and model-based approaches to guide genome editing and crop improvement efforts. Finally, you will work on a team as an individual contributor with other Data and Trait Scientists.


The primary responsibilities of this role, Genome Editing Target Design Scientist, are to:


  • Produce and document recommendations for alleles that have a desired phenotypic impact;
  • Develop state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance by leveraging a variety of genomic and phenotypic datasets;
  • Develop robust workflows that will allow for cross-team communication and decision making and iterative learning from key experiments to shape research direction;
  • Identify methods for capturing complex genetic interactions and the influence of variation on observed phenotypes to improve design and prediction for current and future gene editing pipelines;
  • Lead or assist in the gathering, curation, quality control, and analysis of new data sources (i.e., functional genomics, phenomics etc.) across Research and Development (R&D) teams.

WHO YOU ARE


Bayer seeks an incumbent who possesses the following:


Required Qualifications:


  • Ph.D. in Biological Sciences, Computational Biology, or related field;
  • Distinct communication skills with fluency in English, both written and verbal;
  • Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses;
  • Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry.

Preferred Qualifications:


  • Educational preparation or applied experience in at least one of the following areas: Plant Biology, Genetics, Molecular Biology, Machine/Deep Learning, or other related disciplines.
  • Plant development experience;
  • Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals;
  • Ability to influence key stakeholders through challenges and opportunities to facilitate solutions to complex challenges;
  • Results oriented with demonstrated ability to apply enterprise level prioritization of multiple projects.

This posting will be available for application until at least November 13, 2025.


Relocation may be offered for this role.


Employees can expect to be paid a salary between $80,504.00 to $120,756.00. 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.




Bayer is an E-Verify Employer.




Location:
United States : Missouri : Chesterfield

Division:
Crop Science

Reference Code:
855899




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