Genomics Editing Target Design Scientist

Bayer•Chesterfield, MO

About The Position

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:

Requirements

Ph.D. degree (within 6 months of starting in role) 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.

Nice To Haves

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.

Responsibilities

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.