This role involves conducting advanced bioinformatics research in the field of human tissue immunology, specifically focusing on inflammatory arthritis. You will work within a multidisciplinary team to identify new disease pathways and collaborate with specialists in the ARCADIA network.
Lead or contribute to drug discovery projects at the intersection of medicinal chemistry and AI, guiding programs from initiation to candidate selection. Collaborate closely with machine learning scientists to refine AI-driven drug design models and drive innovation in synthetic organic chemistry. Play a key role in shaping next-generation therapeutic development through strategic input, CRO management, and intellectual property generation.
You will work on optimizing large language models for performance and scalability within a cutting-edge AI-driven drug discovery environment. The role involves implementing post-training methods, diagnosing distributed system bottlenecks, and deploying low-precision techniques to support real-world drug design applications. Collaboration with interdisciplinary research teams is central to translating novel AI methods into production-ready systems.
Conduct genomic analysis of commensal bacteria and antimicrobial resistance in pigs on commercial farms in Catalonia. Combine longitudinal sampling with deep sequencing to study within-host bacterial diversity, strain dynamics, and AMR gene transmission. Work across field, lab, and bioinformatics components in an interdisciplinary team investigating the impact of antimicrobial treatment on resistance spread.
The role involves developing and characterizing molecular quantum materials for biomedical sensing, focusing on nanoparticle probes and their optical and spin properties. Responsibilities include preparing and testing nanoparticles, functionalizing surfaces, and collaborating with interdisciplinary teams to advance diagnostic methods.
The Global Research Program Manager will drive internal operational efficiency, coordinate cross-team projects, manage key partnerships, and oversee the tools and operations that the technical teams rely on. This role involves optimizing processes, facilitating collaboration, and ensuring that the team can focus on pioneering research and development.
This role involves designing and executing high-throughput genome engineering experiments and scalable phenotypic measurements in bacterial systems to generate training data for multi-modal biological models. The researcher will work at the intersection of wet-lab biology and AI, collaborating closely with computational scientists to build and validate models. The position emphasizes method development, data generation, cross-disciplinary collaboration, and mentorship within a cutting-edge synthetic biology institute.
This role involves developing and implementing bespoke experimental assays for bone cancer studies, contributing to research planning, and conducting complex data analysis in spatial and single cell proteomics. The postholder will work collaboratively with the team, refine research hypotheses, and contribute to funding applications.
This role involves designing, producing, and characterising novel engineered proteins to modulate cell-surface receptor signalling in myeloproliferative neoplasms. Responsibilities include developing protein expression and purification methods, establishing functional assays, and collaborating with internal and external partners.
The role involves analysing imaging datasets to support functional genomics research, developing and applying new methods, and collaborating with leading scientists across the UK. You will contribute to a national effort to understand how genetic variation drives human physiology and disease.
This role involves leading stem cell-focused drug discovery projects, developing and optimizing advanced stem cell-derived models, and integrating these models into client discovery programs. The position offers opportunities to work with cutting-edge technologies and collaborate with experts across various scientific disciplines.
Work on cutting-edge AI research to accelerate drug discovery by developing models that bridge virtual cells and real-world data. Collaborate with interdisciplinary teams of scientists and engineers to translate complex biological data into scalable biomedical solutions. Focus on advancing end-to-end applications in discovery, design, and translation using large-scale datasets and frontier AI techniques.
Support translational research by assisting in normothermic machine perfusion experiments and a range of laboratory techniques including cell culture, flow cytometry, and molecular biology. Contribute to gene therapy development using advanced in vitro models, with training provided and no prior perfusion experience required.
This role involves supporting pre-clinical research through the production and characterisation of lentiviral vectors for gene therapy. The technician will perform molecular cloning, cell culture, transfection, and quality control using flow cytometry and ddPCR. The position requires meticulous documentation, protocol optimisation, and collaboration within the translational research team to advance therapeutic development.
Process environmental samples through DNA extraction, normalization, and library preparation pipelines using automated systems and manual techniques. Perform QC checks, maintain LIMS records, and support R&D protocol testing in a high-throughput, CL2-compliant lab environment. Contribute to maintaining a safe, organized workspace and enable scalable data generation for AI-driven biological discovery.
