At DeepMind, we've built a unique culture and work environment where long-term ambitious research can flourish. Our interdisciplinary Science team applies the best of our artificial intelligence research to challenges within the natural sciences. The Science team has already made a number of high profile breakthroughs, and we have all the ingredients in place to make further significant progress over the coming years. To succeed in this role you will need to be passionate about advancing science using machine learning and other computational techniques. You'll join a spectrum of domain experts, ML research scientists, and engineers exploring a diverse set of important scientific problems in biology, physics, mathematics, and other areas.