This role involves overseeing the quality and compliance of external partners in GLP-regulated nonclinical research, including CROs and laboratories. Responsibilities include vendor qualification, risk-based monitoring, audit coordination, and ensuring adherence to regulatory standards. The role requires deep knowledge of GLP, GCP, and GMP regulations and strong cross-functional collaboration.
The Head of Operational Excellence leads process improvement activities and staff, aligning projects with business strategies. They establish and maintain performance metrics, manage operational processes, and oversee training and development of subject matter experts in a regulated, global matrix organization.
This role involves leading the development of innovative metabolic engineering and synthetic biology approaches to optimize plant respiratory activity, energy status, and redox balance. The scientist will design and implement engineering strategies, conduct experiments in plant cell cultures and whole plants, and collaborate with multidisciplinary teams to translate research into real-world solutions.
This PhD project focuses on understanding the genetic mechanisms behind sexually antagonistic selection in fruit flies. You will use bioinformatics, genome engineering, and advanced sequencing techniques to identify and validate sexually antagonistic genes, explore their effects on fitness, and uncover the molecular mechanisms of sexual conflict. The role offers interdisciplinary training and collaboration opportunities within the Norwich Research Park.
Develops and validates ligand-binding and cell-based assays to support clinical programs for mRNA medicines. Performs pharmacodynamic and immunogenicity testing in compliance with GcLP, using platforms like Thermo Watson LIMS. Contributes to assay development, reagent management, and regulatory documentation in a fast-paced, innovative lab environment.
This role involves working directly with pharmaceutical and biotechnology companies to design, build, and deploy production-grade AI solutions for complex scientific problems. Responsibilities include tailoring Owkin’s AI platform, K Pro, to client needs, translating biological questions into computational workflows, and collaborating with cross-functional teams to ensure high-quality scientific insights.
We are seeking to appoint a Research Assistant (AI Scientist & Computational Cancer Biology) to join the Nuffield Department of Medicine, University of Oxford, working on an state of the art project funded by Advanced Research & Innovation Agency.Reporting to...
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.
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.
The Senior Scientist, Toxicology role involves designing and conducting human-relevant toxicology studies, acting as a Study Director, and leading client-facing activities. Responsibilities include managing scientific projects, training junior scientists, and advancing New Approach Methodologies in toxicology and bioanalysis.
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 leading chemical biology efforts at Recursion, developing strategies for chemical probe design, and managing a team of chemists. The position focuses on integrating AI/ML-driven platforms to advance drug discovery and target identification, working closely with multidisciplinary teams.
This role involves deploying and adapting proprietary generative AI models within pharmaceutical and biotech customer environments. You'll work closely with interdisciplinary teams to integrate models into production systems, optimize performance, and translate scientific requirements into technical solutions. The position requires deep expertise in generative modelling, strong ML engineering skills, and the ability to act as a technical liaison between research and customer teams.
