Senior Research Scientist

Basecamp Research is building frontier AI for therapeutic design. We believe the future of medicine lies in reprogramming the body to repair itself, and we design the models and the medicines to teach it how. Our EDEN models are trained on BaseData, the world's largest proprietary genomic dataset, with over 10B genes collected through partnerships in more than 30 countries across all seven continents. This gives our AI models access to genetic diversity that doesn't exist in public databases, and enables EDEN to design cell and gene therapies, enzymes, and peptides directly from information about a disease. Our pipeline of EDEN-designed therapeutics, beginning with in vivo cell therapy, is advancing towards clinical development. In September 2026 we closed an oversubscribed $140M Series C led by S32, with participation from NVIDIA, Anthropic's Anthology Fund, Catalio, European Tech Collective, Firebrand River Capital, King Philanthropies, NATO Innovation Fund, NVentures (NVIDIA's venture arm), Redalpine, Rockefeller Foundation, Singular, Sovereign AI and True Ventures. We have offices and labs in London and Boston, we partner with biopharma companies and academic institutions worldwide, and our work has been recognised by Fast Company's Top 10 Most Innovative Companies in Biotech, the FT-backed Sifted AI100 list of Europe's leading AI startups as well as Barclays Eagle Labs Ones to watch, AI100. At Basecamp Research, we pride ourselves on being a lean collaborative and global team with extremely specialist and unique skills. Our biologists, engineers, ML scientists and field explorers are united by a sense of adventure and the belief that AI, biology and data, will result in new medicines for patients who have few options today.

We are looking for a Senior Research Scientist to join our AI Research team in London. You will work on the core machine learning problems behind biological foundation models, from architecture and training through to evaluation and the design of genuinely novel biology. Our research group is small, collaborative, and operates more like a frontier research lab than a typical biotech team. We train billion-parameter-scale foundation models on the world's largest metagenomic dataset, comprising tens of trillions of tokens. We look for people who can push the mathematical boundaries of what these models can learn and represent. The work requires developing new methods and theories from scratch. This is a role with real ownership. You will shape a research direction within the team, publish at top venues, and see your work translated into models that generate genuinely novel biology. The problems are hard, the data is unique, and the impact is tangible. You'll be reporting to the Head of AI Research and working alongside researchers covering genomics, sequence modeling, and large-scale deep learning, as well as computational biologists, bioinformaticians, and engineers across the wider company.

PhD in computer science, mathematics, physics, or a closely related quantitative field. Your work in AI is driven by curiosity, and you've built a track record of research that others have found worth building on. You have spent meaningful time on frontier research and you already have an understanding of how top research teams operate, from problem selection to large-scale experimentation to shipping results that matter. Your research interests might span representation learning, generative modeling, sequence and structure models, multimodal learning, training and inference at scale, reinforcement learning, or evaluation and interpretability. What matters most is that you pick important problems and go after them with rigor. You have a strong publication record at top ML venues (NeurIPS, ICML, ICLR, or equivalent) that demonstrates independent thinking and a coherent research arc. You are genuinely curious about biology. Domain expertise is welcome, and what we really care about is that