Lead and execute model-informed drug development strategies in oncology, applying advanced pharmacometric and AI/ML techniques to optimize dose selection, trial design, and regulatory submissions. Work across multidisciplinary teams to drive quantitative decision-making in clinical pharmacology and contribute to the development of innovative cancer therapies.
Lead the strategy and governance of the Description data domain to enable structured regulatory submissions (SPQS) and digital regulatory capabilities. Define standards, business requirements, and data products across R&D, Supply Chain, Regulatory, and Quality functions, ensuring harmonized product and material data. Partner with technology teams to implement scalable solutions in platforms like SAP PLM.
Leads a data science and AI team focused on developing AI accelerators and agentic workflows within commercial analytics for international markets. Drives end-to-end machine learning solutions in the cloud, translating data insights into strategic business impact across pharma commercial functions. Works cross-functionally to build native AI capabilities and deliver scalable data products that influence brand and marketing decisions.
Leads a data science and AI team focused on developing agentic AI and machine learning solutions within commercial analytics for international markets. Drives end-to-end development of AI accelerators, translating complex data insights into strategic business impact. Collaborates cross-functionally to build scalable cloud-based ML/LLM systems and influence decision-making across pharma commercial domains.
Lead and strategically guide a team of 25 medicinal chemists in redefining drug discovery through deep integration with AI and machine learning. Shape the scientific direction of projects from hit identification to candidate nomination, while fostering collaboration across computational design, biology, and pre-clinical development teams. Drive innovation by challenging traditional paradigms and embedding an AI-first culture across the chemistry function.
Develop and optimise cutting-edge AI models at the intersection of machine learning and drug discovery, translating research into scalable, production-ready systems. Work on foundational models like Diffusion networks, Transformers, and GNNs, building robust infrastructure and data pipelines while collaborating closely with scientists. Focus on advancing a digital biology platform to accelerate rational drug design across multiple therapeutic areas.
A Clinical Development Medical Director role focused on neuroscience, particularly neuromuscular conditions, with responsibility for shaping global clinical strategies and leading drug development programs. The position involves leading regulatory submissions, overseeing clinical trial execution, interpreting data, and engaging with regulatory authorities and key opinion leaders. Expertise in gene therapy and neurodegenerative disorders is highly valued within a collaborative, international environment.
Leads global clinical development programs in neuroscience, with a focus on neuromuscular or related disorders. Provides medical and scientific leadership across trial design, regulatory submissions, and data interpretation. Engages with regulatory bodies and key opinion leaders to shape clinical strategy and advance innovative therapies.
This role involves hands-on laboratory work and data analysis in genomics, transcriptomics, and single-cell sequencing to support oncology drug discovery. The scientist will develop and optimise NGS workflows, process and interpret complex omics datasets, and collaborate across disciplines to translate findings into scientific insights. Emphasis is placed on integrating experimental and computational approaches, with opportunities to apply AI-enabled tools for enhanced data interpretation and workflow efficiency.
This role involves designing and implementing quality test procedures for both software and hardware components of medical devices. Responsibilities include attending design meetings, writing test plans, analyzing opportunities for automated testing, and ensuring compliance with regulatory standards.
This role involves designing and implementing quality test procedures for both software and hardware in medical device products. Responsibilities include attending design meetings, writing test plans, and ensuring compliance with regulatory standards.
Lead the development of autonomous AI agents for drug discovery, designing systems that perform multi-step reasoning, propose hypotheses, and integrate with wet-lab experiments. Work at the intersection of AI, biology, and chemistry to build 'scientists in a box' that accelerate therapeutic breakthroughs through agentic workflows and cutting-edge generative AI.
Prepare and compound sterile pharmaceutical products including total parenteral nutrition and chemotherapy in a cleanroom environment, following strict GMP and SOPs. Focus on accuracy, aseptic technique, and timely delivery of life-saving medicines to hospitals. Work within a supportive team with opportunities for accreditation-based progression and a 4-day week shift pattern.
Lead the design and execution of post-authorisation safety studies using real-world data to assess and communicate the safety profiles of AstraZeneca’s medicines. Provide strategic epidemiological input to regulatory submissions, safety signal evaluations, and diversity initiatives, collaborating with internal teams and external partners. Drive methodological excellence in pharmacoepidemiology and contribute to global patient safety decision-making across a broad product portfolio.
Provide technical support for medical diagnostic equipment, including installation, fault diagnosis, repair, and preventative maintenance across NHS, university, and private laboratories. Deliver customer training and collaborate with multidisciplinary teams to ensure reliable system performance in a 7-day support model. Work on-site and remotely to maintain high-availability diagnostic solutions in a fast-paced healthcare environment.
