At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune...
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune...
This role involves building and managing cloud infrastructure and DevOps tooling to support AI-driven drug discovery. You'll work across research, development, and production environments using GCP, Kubernetes, and Infrastructure as Code, collaborating closely with scientists, ML researchers, and engineers. The focus is on creating scalable, secure, and automated systems that accelerate scientific innovation in a fast-moving, interdisciplinary environment.
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.
Design and develop generative protein models that capture enzyme dynamics and function, with a focus on catalysis through motion. Analyze complex datasets and collaborate with interdisciplinary teams to evolve designs in vivo. Contribute to high-impact research publication and translation within a cutting-edge synthetic biology environment.
This role involves developing and optimising high-throughput enzyme assays to characterise plant protein variants for improved crop yield and climate resilience. The scientist will work at the intersection of enzymology, protein engineering, and automation, collaborating with AI and robotics teams to build scalable biochemical workflows. The position focuses on translating computational protein designs into experimentally validated candidates for agricultural innovation.
This industrial placement at GSK offers a year-long opportunity to gain hands-on experience in data generation, scientific communication, or related fields. You will work on live projects, develop strategic materials, and collaborate with multidisciplinary teams to drive impactful initiatives and enhance your skills in data analysis, communication, and project management.
This two-year graduate programme at GSK focuses on engineering and manufacturing, with rotations in various areas like project management, equipment reliability, and smart manufacturing. Participants will work on real-world challenges, apply digital and data analytics, and contribute to sustainability initiatives.
This two-year graduate programme at GSK's Ware site focuses on quality science in pharmaceutical manufacturing. Participants will gain hands-on experience in quality testing, regulatory compliance, and sustainability projects, while developing skills in data analytics and continuous improvement.
This two-year graduate programme at GSK focuses on chemical engineering and manufacturing science, providing hands-on experience in pharmaceutical production processes. Participants will work on real-world challenges, apply data analytics and digital technologies, and develop technical expertise through rotations and mentoring.
This two-year graduate programme at GSK focuses on engineering and manufacturing in the pharmaceutical industry. Participants will work on real manufacturing challenges, manage equipment, implement smart manufacturing technologies, and contribute to sustainability initiatives. The role involves cross-functional projects, rotations, and tailored training to develop technical and leadership skills.
This two-year Supply Chain Graduate Programme at GSK in Barnard Castle focuses on manufacturing and supplying medicines and vaccines. Participants will work on cross-functional projects, gain exposure to external manufacturing, and develop skills in digital data and analytics, sustainability, and project management.
This two-year graduate programme at GSK focuses on quality science in pharmaceutical manufacturing. Participants will gain hands-on experience in quality testing laboratories and manufacturing facilities, working on regulatory compliance, quality systems, and sustainability projects. The role involves cross-functional collaboration and training in advanced problem-solving techniques.
This role involves providing statistical leadership across oncology clinical development, from early-phase trials to regulatory submissions. The candidate will lead study design, analysis, and interpretation using advanced methods like Bayesian approaches and real-world data integration. They will collaborate with cross-functional teams to deliver robust statistical insights that inform key development decisions in a global biopharma environment.
This role involves performing targeted and non-targeted trace analysis of small and large molecules using mass spectrometry, developing sample preparation methods, and leading analytical projects. The candidate will work with a high level of autonomy, contribute to regulatory submissions, and oversee work packages at CROs.
