This role involves developing and executing biochemical and molecular biology assays to support pharmacokinetic/pharmacodynamic analysis. Responsibilities include assay development, data analysis, and collaboration with external partners, while staying current with scientific literature and regulatory guidelines.
This industrial placement at GSK offers a range of roles in biological and biomedical sciences, providing hands-on experience in cutting-edge research and development. You will work on real projects, develop technical skills, and gain insights into the drug discovery and development process, with opportunities for flexible or on-site working.
Lead or contribute to drug discovery programs using AI-first approaches, integrating computational chemistry with machine learning to design novel therapeutics. Guide project strategy from hit identification through candidate selection, while collaborating closely with ML scientists and cross-functional teams. Help shape and refine AI models for drug design, with opportunities to lead teams and drive innovation in a dynamic, interdisciplinary environment.
A Research Scientist focused on applying Large Language Models to drug discovery, working in interdisciplinary teams to develop novel AI-driven approaches for biological and chemical challenges. The role involves advancing LLM techniques such as post-training, reasoning, tool-use, and alignment within a cutting-edge AI research environment. Collaboration with scientists and engineers is central to developing predictive models that accelerate rational drug design.
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.
This role involves designing and executing experiments to develop next-generation platforms for continuous evolution, focusing on engineering orthogonal replication systems that enable rapid gene evolution while maintaining host viability. The researcher will analyze complex datasets using computational tools, contribute to novel methodologies, and collaborate across multidisciplinary teams to advance fundamental and applied research in generative biology. Emphasis is placed on innovation in evolutionary systems, mentoring junior scientists, and translating discoveries into real-world applications in health and sustainability.
This role involves designing and executing experiments in synthetic chromosome engineering, with a focus on centromere design, mitotic segregation, and meiotic control in mammals and plants. The researcher will develop novel methodologies, analyse genomic datasets, and contribute to foundational work in programmable synthesis of large genetic systems. Collaboration, publication, and mentoring are key components, within a multidisciplinary team advancing the engineering of biology.
This role involves building and optimizing the machine learning systems that power frontier AI research in life sciences, focusing on distributed training, GPU acceleration, and scalable experiment infrastructure. The engineer will work deeply within the research team to enable rapid iteration on novel biological models using unique, large-scale datasets. The position emphasizes system reliability, performance optimization, and direct impact on scientific discovery through close collaboration with researchers and engineers.
This role involves pioneering research at the intersection of mathematics, machine learning, and biology, focusing on developing novel theoretical frameworks for large-scale foundation models trained on unique metagenomic data. The scientist will lead independent research directions, publish at top venues, and translate mathematical insights into AI models that generate novel biological sequences. The position emphasizes first-principles thinking, collaboration, and real-world impact in therapeutic discovery.
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.
The Quality Manager role involves providing quality oversight across clinical activities and the Quality Management System (QMS). Responsibilities include leading and supporting audits, managing quality events, and contributing to regulatory inspection readiness. The role requires significant QA experience in the pharmaceutical or clinical research sectors, strong knowledge of GCP, GCLP, and GPvP, and experience with quality management systems and regulatory inspections.
This role involves conducting research and teaching in cell biology within the School of Medicine. The successful candidate will contribute to academic programs and develop a strong research profile. The position emphasizes scholarship, innovation, and collaboration in a research-led university environment.
Regulatory Affairs Specialist - InnovationLocation: BedfordThe VacancySwiss Precision Diagnostics (SPD) is a world leader in the research, design and supply of advanced consumer diagnostic products. SPD is a joint venture between Procter & Gamble (P&G) and Abbott; and our brand...
This role involves performing analytical characterisation of biotherapeutics using mass spectrometry and chromatography techniques. You will develop and optimise analytical methods, support early-phase portfolio progression, and collaborate across matrix teams in Discovery and CMC Development.
This role involves designing and executing bioanalytical and immunogenicity strategies to support mRNA-based therapeutic development. The scientist will lead assay development for clinical programmes using platforms like ELISA, MSD, and cell-based methods, ensuring regulatory compliance and robust data generation. The position emphasizes collaboration across multidisciplinary teams and integration of digital tools and AI to advance Moderna's pipeline.
