Senior Research Scientist, AI Safety and Biosecurity

ABOUT US 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. THE ROLE You will advance our work on AI safety and biosecurity, studying the capabilities and risks of biological AI systems and developing methods to evaluate them and make them safer. We train frontier biological models on BaseData, which captures genetic diversity beyond what is available in public databases. You will work within the team that develops these models, with access to the data, training process, and biological expertise needed to study their capabilities and test safeguards. You will build on our existing safety work and help set research priorities as our models develop. Depending on your expertise, your work could include: - Designing evaluations and red-teaming studies that measure what biological AI systems enable in practice, including how much they add to existing tools and expertise. - Developing threat models grounded in biology, and working with experimental scientists to establish when computational results support conclusions about real-world capabilities or risk. - Investigating model behaviour, representations, and generalisation to understand where safety evaluations and safeguards hold up or fail. - Developing and testing safeguards across training, model behaviour, design screening, and access, measuring both their effectiveness and their effect on useful scientific work. We will shape the research focus together around your strengths and the problems that matter most. You will lead projects from the initial question through to experiments and methods that the team can use. Your findings will inform how we develop our models and what we publish, release, and offer through our services. You will also have scope to publish research where appropriate and collaborate with the wider AI safety and biosecurity community. You will report to the Head of AI Research and work alongside researchers in genomics, sequence modelling, and large-scale deep learning, as well as computational biologists and experimental teams across the company. ABOUT YOU