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The Multi-omics Bioinformatics Scientist will enable advanced tools for breeding the next generation of Driscoll's berries. This role will develop and deploy methods and support for gene discovery and exploitation, including transcriptomics, pan-genomics, and functional annotation, integrated with results from phenotyping. This role provides an exciting opportunity to advance state-of-the-art technologies and be part of a world-class breeding program. As a technical lead in gene discovery research, the scientist will utilize modern tools and approaches for identifying functional genes, along with their trait-linked sequence variation and copy dosage. Collaboration with colleagues in Breeding, Physiology, Plant Health, Post-Harvest, and other teams will be essential for analyzing trait-linked features, with particular attention to regulatory networks and molecular pathways. The scientist will also serve as the primary expert on prioritization, design, management, and analysis of pan-genomic and transcriptomic sequencing experiments, cross-referencing with public reference genomes and gene/annotation databases. In addition, the role involves retrieving, manipulating, and managing large datasets of raw and refined sequences using R, Python, and other Unix-based methods for deploying robust analysis pipelines. The scientist will collaborate with colleagues in Breeding, Data Science, Informatics, and other functional teams to co-develop and champion new project proposals. A strong emphasis will be placed on fostering a culture of organized data and reproducible science, supporting both Next Generation Breeding and other teams collaborating towards enterprise goals. Communication of project planning and progress to stakeholders, colleagues, and leadership will be conducted through written updates and oral presentations with a high level of independence. The scientist will also be responsible for appropriate documentation and storage of all data, software, and workflows in software notebooks, repositories, and enterprise systems. Lastly, serving as a subject matter expert for company stakeholders in translating genomic and gene-function discoveries into business decisions will be a key aspect of this role.
