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 role involves designing and executing bioanalytical and immunogenicity strategies to support mRNA-based clinical development programmes. The scientist will lead assay development—including ADA, nAb, PK, and PD assays—using platforms like ELISA, MSD, and cell culture, while ensuring regulatory compliance and contributing to Moderna's expanding capabilities in Harwell. The position emphasizes collaboration across multidisciplinary teams and integration of digital and AI-enabled tools to enhance data interpretation and decision-making.
Lead the development and execution of bioanalytical strategies for a diverse portfolio of AI-designed therapeutics, including small molecules, biologics, and ADCs. Design and validate PK, PD, and immunogenicity assays, manage global CROs, and integrate bioanalytical data into AI models to refine drug discovery. Play a key role in IND-enabling studies and cross-functional preclinical development in a hybrid London-based role.
Lead the development and execution of nonclinical safety strategies for small molecule drug candidates in oncology and non-oncology programs, integrating AI-driven predictive models with traditional toxicology. Build and scale the nonclinical safety function within an AI-first drug discovery environment, ensuring high-quality data feedback to refine computational models. Collaborate across preclinical, clinical, and regulatory teams to advance compounds through IND and NDA/MAA-enabling studies.
This role involves developing and managing relationships with pharmaceutical, biotech, and investor-backed life sciences organizations. The Director will lead the full sales cycle, from initial contact to contract signing, and work closely with cross-functional teams to deliver tailored solutions using Owkin's K Pro AI platform.
This two-year Supply Chain Graduate Programme at GSK involves working on cross-functional projects and rotations, focusing on external manufacturing, quality, supply, and commercial aspects. You'll coordinate with GSK teams and external partners, manage projects, and apply digital and data analytics to improve pharmaceutical manufacturing processes.
Develops and optimizes metagenomic extraction and sequencing workflows for diverse sample types, focusing on low-biomass and inhibitor-rich matrices. Works end-to-end from DNA/RNA extraction to library prep, with emphasis on high molecular weight recovery and virology applications. Collaborates globally to enhance data quality and scalability for AI-driven biological discovery.
This role involves designing and prototyping generative machine learning models for protein design, with a focus on real-world biological functionality. The scientist will build scalable data pipelines, optimize model performance, and collaborate closely with biologists to test predictions in wet lab environments. A strong research background and passion for interdisciplinary innovation are essential.
Design and develop novel generative machine learning models for protein design, integrating with wet lab experiments to validate performance in real-world biological contexts. Collaborate closely with interdisciplinary teams of researchers, engineers, and biologists while maintaining robust, scalable code and infrastructure. Focus on rapid prototyping, model optimization, and continuous learning from experimental feedback to advance synthetic biology.
This role involves managing a human tissue repository, ensuring sample management, regulatory compliance, and operational excellence. You will coordinate sample procurement, storage, and distribution, maintain traceability using LIMS, and support research programmes by working closely with scientists and data specialists.
This PhD position involves developing AI tools for subcellular proteomics data analysis, focusing on statistical and probabilistic modelling of complex biological datasets like mass spectrometry and imaging. The role requires building and extending computational pipelines, with a particular interest in Bayesian inference and hierarchical data structures. Work is conducted within a pan-European research network in collaboration with Oxford.
This role involves leading laboratory science to characterise and de-risk therapeutic antibody and biopharmaceutical candidates. Responsibilities include designing and running experiments, analysing data, and collaborating with multidisciplinary teams to support programme progression. The position offers hands-on lab work and opportunities for technical and leadership development.
This role involves leading health, safety, and biological compliance across a gene therapy organisation, with a focus on regulatory adherence, risk assessment, and biosafety oversight. The specialist acts as the appointed Biological Safety Officer, ensuring safe handling of biological materials and driving a strong safety culture through training and audits. Work includes developing safety systems, incident investigation, and maintaining compliance with UK legislation and internal standards.
Develop software to translate scientific protocols into reliable, automated laboratory processes by capturing tacit biological knowledge and encoding it into executable, traceable systems. Work closely with scientists and engineers to ensure automated results match manual outcomes, design data models for reproducibility, and validate runs in real lab environments. The role bridges deep scientific understanding with software engineering to make autonomous labs function effectively.
This role involves supporting research into arbovirus biology, focusing on chikungunya virus and related flaviviruses. The technician will use molecular and cell biology techniques such as PCR, cloning, RNAseq, and infectious clone systems to study viral genome regulation in human and mosquito cells. The work contributes to identifying antiviral targets within a multidisciplinary team at a leading UK research university.
