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 and execute model-informed drug development strategies in oncology, applying advanced pharmacometric and AI/ML techniques to optimize clinical trial design, dose selection, and regulatory submissions. Drive innovation in quantitative clinical pharmacology across the R&D pipeline, from early development through lifecycle management, within a multidisciplinary translational medicine team.
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.
You will work on optimizing large language models for performance and scalability within a cutting-edge AI-driven drug discovery environment. The role involves implementing post-training methods, diagnosing distributed system bottlenecks, and deploying low-precision techniques to support real-world drug design applications. Collaboration with interdisciplinary research teams is central to translating novel AI methods into production-ready systems.
The role involves managing the day-to-day operations of the InsightXplorer platform, including access provisioning, request triage, and coordination with technical teams. It focuses on maintaining platform governance, reporting metrics, and ensuring smooth cross-regional collaboration within a global medical insights team. The position requires strong operational oversight and alignment across stakeholders to support scalable platform performance.
This role is responsible for the day-to-day operation and governance of Pfizer's InsightXplorer platform, a global medical insights system. The individual will manage platform access, coordinate technical support, triage incoming requests, and oversee reporting and metrics across regions. It requires strong operational discipline, cross-functional coordination, and the ability to prioritize competing demands within a matrixed global organization.
Leads the operational delivery of high-impact, global R&D projects within a cross-functional biotech environment. Focuses on strategic planning, budget and timeline management, risk mitigation, and stakeholder reporting. Provides mentorship to junior project management staff and ensures robust project execution across drug research, development, and manufacturing.
Manages clinical trial case management activities, ensuring compliance with international and national regulations including GxP and pharmacovigilance standards. Oversees safety reporting, vendor performance, and case processing for serious adverse events, while acting as a key liaison for inspections and audits. Provides training, supports database enhancements, and ensures accurate coding and consistency in safety data analysis.
Lead the development and validation of molecular assays including RT-qPCR, dPCR, and NGS for clinical biomarker programs across Moderna's therapeutic pipeline. Drive end-to-end assay lifecycle management, ensure regulatory compliance with GCLP standards, and collaborate with cross-functional teams to deliver high-quality genomic data. Mentor scientists and integrate advanced analytics and AI-enabled tools to accelerate discovery and translational research.
This role involves end-to-end ownership of computerised system validation (CSV) for GxP-regulated systems used in the manufacturing and testing of advanced CAR-T cell therapies. The engineer will author and execute validation documentation, ensure compliance with international regulations (e.g. FDA 21 CFR Part 11, EU GMP Annex 11), manage change controls and CAPAs, and support regulatory inspections. The position requires strong technical writing, cross-functional collaboration, and expertise in GAMP 5 and data integrity within a biopharmaceutical context.
Design and build scalable cloud infrastructure for AI and agentic systems, focusing on model serving, reliability, and efficient deployment across the full software lifecycle. Work closely with ML engineers and scientists to deliver robust, high-performance systems on GCP. Implement CI/CD, monitoring, and cloud-native architectures to support production AI workloads.
Balance technical, regulatory and commercial challenges in this fulfilling roleThis highly regraded Cambridge-based medical technologies company is seeking a proven engineering leader to help guide high-value development programmes from concept through to transfer to manufacture. Your leadership will accelerate development...
Lead and coordinate complex, cross-divisional projects within a regulated medical device and pharmaceutical environment. Oversee project planning, budgeting, risk management, and stakeholder alignment while driving strategic initiatives and process improvements. Work remotely in a temporary role with potential for long-term extension.
This role involves leading the development and validation of advanced molecular assays—including RT-qPCR, dPCR, and NGS-based methods—for clinical biomarker programs at Moderna. The scientist will drive end-to-end assay lifecycle management, ensure compliance with GCLP and regulatory standards, and collaborate across multidisciplinary teams to generate high-quality genomic data. A key focus is integrating genomics, bioinformatics, and clinical insights to support drug development and inform future pipeline strategies.
Provide frontline technical support for Roche's diagnostic equipment in NHS pathology laboratories across Devon. Perform proactive and reactive maintenance on electro-mechanical systems, troubleshoot technical issues, and minimise equipment downtime. Conduct training for lab staff and use digital tools for preventative maintenance, working closely with customers and internal teams to ensure high-quality service delivery.
