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, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. The Program This exciting research project is a cross–Francis
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decision-making, quality control and downstream biological interpretation. This role would suit a computational scientist, data scientist or technology-focused researcher who enjoys applying deep learning
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computational design and experimental validation. What you will be doing You will: Develop, apply, and iteratively refine protein/genomic language models to design novel protein variants informed by evolutionary
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combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during
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, utilising mathematical modelling, phylogenetic comparative methods, conceptual and philosophical synthesis, and a variety of computational approaches to understand the evolution of developmental processes
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social events. Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Career support: A Post-doc to PI programme and
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. Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Career support: A Post-doc to PI programme and other career
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interaction. Career support: A Post-doc to PI programme and other career development activities Please note you must meet the essential criteria listed within the Role Profile, to have your application reviewed
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Details of the role: Reporting to: Kurt Anderson Working pattern: This is a fixed term position on Crick terms and conditions of employment. Salary: From £47,080 with benefits, subject to skills and experience. Application closing date: 4th of August 2026 at 23.59pm About us The Francis Crick...