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About the Role
Advance our work on AI safety and biosecurity by studying the capabilities and risks of biological AI systems, developing methods to evaluate them, and making them safer. You will work within the team that develops frontier biological models, with access to data, training processes, and biological expertise. You will build on existing safety work, help set research priorities, and lead projects from initial questions through to experiments and methods.
Responsibilities
- Designing evaluations and red-teaming studies that measure what biological AI systems enable in practice.
- 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.
- Leading projects from the initial question through to experiments and methods that the team can use.
- Publishing research where appropriate and collaborating with the wider AI safety and biosecurity community.
Requirements
- A strong record of original research in machine learning, AI safety, computational biology, biosecurity, or a closely related field.
- Influential papers, research tools used by others, evaluations adopted by other teams, or methods that changed how a system was built or deployed.
- Deep expertise in a relevant area, such as model evaluation, interpretability, robustness, safeguards, biological modelling, or quantitative assessment of biological risk.
- Understanding of modern machine learning and the ability to write code, run experiments, and analyse results.
- A PhD in a relevant field or an equivalent research record.
- Experience leading substantial research projects.
- Ability to explain your own contribution, the choices made, and lessons learned when an approach did not work.
- Curiosity about biology and willingness to learn its details.
- Ability to work closely with domain experts and recognise when a model score is insufficient evidence for a biological claim.
- Good judgment under uncertainty.
- Ability to design experiments with appropriate controls and look for alternative explanations.
- Clear communication of findings and limitations.
- Ability to work well in a small research team: sharing credit, taking criticism seriously, and helping colleagues.
- Motivation to enable useful scientific and medical applications of AI and make them safer.
Skills
- AI safety
- Biosecurity
- Machine learning
- Computational biology
- Model evaluation
- Interpretability
- Robustness
- Safeguards
- Biological modelling
- Quantitative assessment of biological risk
- Modern machine learning
- Protein design
- Genomic models
- Structure prediction
- Biological AI systems
- Experimental biology
- AI safety research
- Biosecurity research
- Red-teaming
- Threat modelling
- Safeguard implementation and evaluation
- Collaboration with biosecurity organisations
- Collaboration with synthesis screening initiatives
- Collaboration with AI safety institutes
Location
- London
- Boston
Work Type
- Full-time
- Hybrid
Experience Level
- PhD or equivalent research record
- Led substantial research projects
Education Level
- PhD in a relevant field or equivalent research record
Salary/Compensations
- Competitive salary
Benefits
- Equity
- Private healthcare with no medical history exclusions
- Carrot Fertility with IVF stipend
- Salary sacrifice pension
- Bike to work scheme
- Life insurance
- Coaching available to team members
- Twice yearly promotion opportunities
About the Company
- Basecamp Research is building frontier AI for therapeutic design, aiming to reprogram the body to repair itself.
- 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.
- Our pipeline of EDEN-designed therapeutics is advancing towards clinical development.
- We closed an oversubscribed $140M Series C led by S32, with participation from major investors including NVIDIA and Anthropic's Anthology Fund.
- We have offices and labs in London and Boston and partner with biopharma companies and academic institutions worldwide.
- Our work has been recognised by Fast Company, Sifted, and Barclays Eagle Labs.
- We are a lean, collaborative, and global team with specialist skills, united by a sense of adventure and the belief that AI, biology, and data will result in new medicines.
- We offer an impactful mission, a collaborative culture, high growth opportunities, and comprehensive benefits.
Equal Opportunity
- We are committed to equal opportunity employment regardless of ethnic or national origin, race, religion, sex, age, citizenship, sexual orientation, marital status, disability, gender identity or any other basis.
- If you have a disability or additional need that needs accommodating do let us know.