Description
At Bayer, we're seeking a Senior Genome Editing Digital Enablement Scientist to join our team. As a key partner and enabler of multi-disciplinary teams, you will design large-scale data systems and analytical pipelines that power our gene editing efforts. You will develop analytical tools that connect biological and operations data to support more efficient and accurate decisions across the gene editing pipeline. Your expertise in both computational biology and genetics will be essential in driving and coordinating multi-functional teams to enable robust data connectivity and interoperability across the editing pipeline.
In this role, you will lead cross-functional projects with IT, Data Engineering, Genome Editing, and other partner teams to automate decision making and connect data to accelerate development of gene-edited products. You will translate complex biological processes into scalable digital workflows that support decision making, advancement, and prioritization within the gene editing program. Your strong ability to collaborate and lead in cross-functional, multi-disciplinary teams will be crucial in influencing without authority and aligning diverse stakeholders around shared digital solutions.
As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while sharing best practices with others. You will serve as a key communicator and thought partner on digital enablement strategy, clearly articulating requirements, trade-offs, and opportunities to scientific and non-scientific stakeholders.
We seek an incumbent who possesses a PhD in Genomics, Computational Biology, Evolution, Quantitative Genetics, or another relevant scientific field with a minimum of 6 years of relevant experience, or an MS with 10+ years of experience developing data systems and analytics pipelines that enable product delivery using genetic and computational biology datasets.