This role involves driving the AI-native Development Operations strategy at GSK, focusing on identifying and deploying AI solutions to improve clinical trial outcomes. Responsibilities include leading the prioritization of AI opportunities, building and testing prototypes, and shaping deployment strategies with cross-functional teams.
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 leads the end-to-end sample-to-sequence pipeline for the Trillion Gene Atlas, managing high-throughput DNA processing from extraction through to sequencing dispatch. The individual will translate R&D protocols into scalable production workflows, drive continuous operational improvements using Lean/Six Sigma, and lead a team within a fast-paced, interdisciplinary environment. They will also evaluate and integrate emerging sequencing technologies and automation to scale throughput and reliability.
This role involves leading and executing phase-appropriate bioanalytical strategies for immunogenicity and ligand binding assays (LBA) within Moderna’s mRNA-LNP therapeutic pipeline. The Principal Scientist will oversee assay development, validation, and sample analysis, ensuring regulatory compliance and scientific rigor across clinical programs. The position emphasizes collaboration with cross-functional teams, integration of emerging technologies including AI-enabled tools, and contribution to regulatory submissions and data interpretation in a GcLP-compliant environment.
This role involves developing, optimizing, and validating molecular bioanalytical assays—such as qPCR, ddPCR, and RNA isolation—to support mRNA-based clinical programs. The scientist will work within GCL0-compliant (GCLP) frameworks to generate pharmacokinetic and pharmacodynamic data, ensuring regulatory compliance and data integrity. Collaboration with cross-functional teams and adoption of digital tools and automation are key to advancing clinical trial execution and analytical processes.
This role involves leading the development and deployment of AI solutions to accelerate insights across GSK's commercial operations. Responsibilities include identifying high-value AI opportunities, building business cases, and collaborating with engineering teams to ensure the successful implementation and scaling of AI-driven products.
The Executive Director, Asset Team Lead, will drive the strategic positioning of clinical assets in oncology and immunology, leveraging Recursion's proprietary OS and ClinTech insights. This role involves cross-functional collaboration to ensure the advancement of transformative medicines, with a focus on competitive positioning and patient benefit.
This role involves leading clinical pharmacology and pharmacometrics strategies for rare disease and oncology programs, designing clinical studies, and interfacing with regulatory authorities. The position requires extensive experience in drug development, proficiency with modeling software, and collaboration with cross-functional teams.
Lead the development and execution of translational medicine strategies for oncology programs, integrating AI-driven insights to inform clinical trial design and biomarker development. Collaborate with cross-functional teams to translate preclinical findings into clinical applications and advance companion diagnostics. Play a key role in shaping the scientific direction of early-stage drug development using cutting-edge methodologies and digital biology approaches.
As a Research Leader in Toxicology, you will develop and implement AI-driven safety assessment strategies for drug discovery projects, from early stages to regulatory submission. You will collaborate with cross-functional teams to optimize drug design, reduce animal testing, and ensure regulatory compliance.
Design novel proteins using proprietary generative AI models and collaborate with experimental teams to validate designs in the lab. Integrate machine learning outputs with biochemical insights, optimize design cycles based on validation data, and contribute to improving AI models and computational workflows. Work at the intersection of synthetic biology and AI, bridging computational and experimental units to advance protein engineering.
This role involves collaborating with scientists and engineers to build robust, reproducible data pipelines for diverse research projects. You will ensure datasets are accurate, version-controlled, and ready for machine learning, working hands-on with cutting-edge technologies and methodologies.
Develop and deploy machine learning systems to advance synthetic biology, genome design, and metabolic modelling in close collaboration with wet lab scientists and computational teams. Focus on building scalable, biology-centric AI solutions using diverse data modalities and integrating with genome-scale metabolic models. Work within a multidisciplinary research environment to co-create projects and drive innovation from concept to publication.
This role involves hands-on administration, configuration, and continuous improvement of an Electronic Lab Notebook (ELN) platform to support R&D and Technical Development laboratories. The scientist will define ELN standards, design workflows and templates, integrate systems, and develop data repositories to enable data-driven decision-making. Collaboration with cross-functional teams is essential to ensure compliance, data integrity, and effective use of the ELN across scientific operations.
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...
