This role sits at the intersection of bioprocessing, data analytics, and digital technology, using manufacturing and process data to enable reliable process monitoring, improve data quality, automate engineering workflows, and provide actionable insights to scientists and engineers. They should be comfortable working across functions, managing multiple priorities, breaking ambiguous problems into actionable tasks, independently developing solutions, and incorporating feedback to continuously improve their work.