KeyGene’s Lead Discovery platform integrates computational systems for the discovery of genes and genetic variants underlying agricultural traits. It provides the tools for integration, large-scale analysis, mining and predictive modeling of heterogeneous, high-dimensional data. The volumes and diversity of these data have soared over the last few years, turning computational lead discovery into a challenging Data Science practice. In anticipation of this, KeyGene engaged early on in the development of big data technologies to complement its existing high performance computing approaches and accelerate KeyGene’s industrial trait development and crop innovation pipelines. Looking forward, the Lead Discovery platform will continue to demand computational innovations to solve complex biological problems.
In this position, you will be responsible for taking KeyGene’s Lead Discovery platform to the next level and broaden its application in commercial trait and crop improvement programs.
You will initiate, manage and realize highly innovative and strategic research programs and applied projects that meet the demands of our customers in the seed breeding industry.
You will ensure innovations to provide high-throughput analytics, broad applicability and superior performance in the prediction of genes and variation that impact commercial traits for crops. You are focused on leading the team to deliver exceptional solutions by motivating, coaching, inspiring and developing each individual within the team, currently consisting of five bioinformaticians and data scientists. You will provide technical leadership in data integration and you are accountable for building predictive and practical solutions in the analysis of complex, high-dimensional datasets. This involves collaborative engagement with other bioinformatics and R&D disciplines within KeyGene, as well as with external partners and customers.