Research Scientist, LLM for Science
As a Research Scientist, LLM for Science, you will advance scientific understanding by applying large language models and machine learning techniques to diverse problems in biology, physics, and mathematics. You will collaborate with interdisciplinary teams, conducting rapid prototyping and exploratory analysis of LLM approaches on large, noisy datasets. This role involves researching, developing, and reporting on novel AI applications for scientific breakthroughs.
We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals.
To succeed in this role you will need to be passionate about advancing science using recent breakthroughs in large language models, in addition to standard machine learning and other computational techniques. You will join an interdisciplinary team of domain experts, ML researchers and engineers exploring a diverse set of important scientific problems in biology, physics, mathematics and other areas. Our work is organised into several longer-term focus areas which aim to achieve step changes to the state-of-the-art (as exemplified in e.g. AlphaFold, AlphaMissense and FunSearch). You'll leverage our unique mix of expertise, data and computational resources to experiment and iterate both rapidly and at scale.
As a Research Scientist in Science, you will use your machine learning expertise to collaborate with domain experts and machine learning scientists to develop and run experiments exploring new applications of AI - particularly LLMs - to science problems. The team is pioneering in many different domains so you may take part in exploratory work validating early ideas or work in a maturing area to deepen and exploit a promising line of research. You may also contribute to the scientific knowledge and experience of the team with your own scientific domain knowledge. You will work with internal and external researchers on pioneering research bridging AI and science.
The role will suit candidates who enjoy working in a heavily experimental setting with large and noisy datasets and who wish to immerse themselves in innovative science, LLM, ML and AI research.
When assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. However, except for scientific knowledge, since the role serves as a bridge between all three, some experience in each is necessary.
Posted June 8, 2026