Scientific Implementation Associate

You'll spend your days translating real scientific R&D workflows into structured data models that power machine learning predictions. One morning you might be on calls with a polymer chemist in Manchester, mapping their formulation process; by afternoon you're in Python, building the data pipeline that turns scattered lab notebooks into training-ready datasets. This role sits at the intersection of laboratory science and software—half client-facing discovery, half hands-on engineering. You don't need to have built neural networks before, but you should get genuinely curious about how sunscreen gets formulated, how adhesives get tested, or how a biopharma team runs stability trials.