Application Scientist

We hire across a spectrum of backgrounds. Some Application Scientists are computational (atomistic and molecular simulation, machine-learned force fields), some are experimental (synthesis, processing, characterisation, lab automation), and some are data-driven (materials and cheminformatics, optimisation). What they share is the ability to turn a partner’s problem into a plan, deliver it, and translate fluently between experimental, computational, and machine learning teams.

We operate a matrix structure. You will have a home team, but may contribute to projects in another pillar as demand and your expertise evolve.

You will own the scientific delivery of partner projects, from scoping to results. Working with our technical programme managers, ML researchers, platform engineers, and lab integration team, you will make sure our platform answers the questions that matter to partners, and that what is learned on each project feeds back into tools and workflows used across the company.