Lead clinical pharmacology, modeling, and simulation efforts for infectious disease assets, driving dose selection and development strategy through population PK/PD and exposure-response modeling. Serve as a scientific leader within cross-functional teams while remaining hands-on with quantitative analyses. Contribute to regulatory submissions and advance model-informed drug development across the R&D lifecycle.
Lead clinical pharmacology and modelling & simulation efforts for infectious disease assets, applying quantitative methods to inform dose selection, trial design, and regulatory strategy. Work across development phases from early planning to lifecycle management, using population PK/PD and exposure-response modelling. Operate as a scientific leader within a cross-functional environment while remaining hands-on with data analysis and model development.
This role involves curating expert rules for interpreting antimicrobial resistance (AMR) genotypic data, analysing whole genome sequences and antimicrobial susceptibility test (AST) results, and supporting the development of diagnostic tools. The scientist will investigate novel resistance mechanisms, collaborate on machine learning models, and contribute to a large-scale pathogen database using long-read sequencing. Work is primarily desk-based with opportunities for lab research and cross-team collaboration in a high-impact, translational environment.
This role involves hands-on operation and maintenance of GC-MS and LC-MS systems to support metabolomics research in plant science. The technician will prepare biological samples, conduct high-quality mass spectrometry analyses, process and interpret data using bioinformatics tools, and provide technical support to researchers. Emphasis is placed on precision, collaboration with scientists, and ensuring reliable instrument performance within a multidisciplinary, innovation-driven environment focused on global food security and sustainability.
This role involves servicing and repairing advanced medical diagnostic systems in NHS and private laboratory settings, including on-site troubleshooting and breakdown response. The engineer will work with high-value, complex equipment and provide technical solutions directly to laboratory staff. Full product training is provided, and the role requires a flexible schedule with some weekend work.
Field Service Engineer, Medical Diagnostic SystemsOverall Earnings £60,000+Basic Salary Up To £52,000OvertimeOn Call Allowance10% BonusCompany Car (Electric Or Hybrid)PensionHealthcareLife InsurancePhone, LaptopHolidays** The role will involve working one weekend in four (during this week you will receive two alternative days off...
This role involves leading the analytical methodology and evaluation rigor for AI-based workflows within Pfizer's Innovation, Data & Analytics team. The Senior Data Scientist will direct model selection, cohort/segmentation science, and agent decision logic, working closely with engineering and governance teams. The position emphasizes methodological defensibility, cross-functional collaboration, mentorship of junior scientists, and translation of advanced analytics into production-grade AI systems using real-world healthcare data.
This role involves leading the analytical methodology and evaluation rigor for AI-based workflows within Pfizer's Innovation, Data & Analytics team. The Senior Data Scientist (AI Lead) will design model selection frameworks, define cohort and segmentation strategies using real-world healthcare data, and direct the logic behind agentic decision systems. Collaboration with engineering, governance, and data architecture teams is central, along with mentoring junior scientists and driving innovation in AI/ML applications across the pharmaceutical lifecycle.
The Digital Science, Patient and Device Safety Director at Evinova will lead the scientific direction and oversight of digital health solutions, ensuring they are safe, compliant, and user-centered. Key responsibilities include setting the innovation roadmap, developing measurement content, managing patient safety, and engaging with regulatory bodies.
This role focuses on enabling secure and compliant cross-border data transfers for AstraZeneca’s Beijing AI Center, primarily from global R&D into China. The scientist will lead first-pass triage, provenance tracing, metadata coordination, and evidence preparation for data sharing requests, ensuring alignment with regulatory requirements like DOJ EO 14117 and internal governance. It bridges scientific data, compliance, and operational execution to accelerate AI-driven drug discovery while maintaining audit readiness and building scalable processes.
Lead the technical architecture and development of Pfizer's global Medical Insights platform (InsightXplorer), translating regional and scientific needs into scalable data and AI-driven solutions. Drive innovation by evaluating new data sources, analytics methods, and AI capabilities, and guide their integration into the platform roadmap. Collaborate with cross-functional teams to ensure technical feasibility, stakeholder alignment, and successful change management for new capabilities.
Build and operate production data pipelines that power AI-driven workflows, implementing canonical data models and ensuring high-quality, timely data delivery. Collaborate with data scientists and analysts to support agentic systems and analytical models, while maintaining compliance and data governance standards in a regulated healthcare environment.
Build and operate production data pipelines that power AI-based workflows, implementing canonical data models and ensuring high-quality data for analytics and agentic systems. Collaborate with data scientists and analysts to support model needs and improve pipeline performance, cost, and maintainability. Work within a regulated environment to ensure compliance and governance.
Build and operate production data pipelines that power AI-based workflows, implementing the canonical data model and ensuring high-quality, timely data for analytics and agentic systems. Collaborate with data scientists and analysts to validate data models, improve pipeline performance, and support evolving business needs in a regulated healthcare environment.
Build and operate production data pipelines that support AI-driven workflows, implementing canonical data models and ensuring high-quality, timely data delivery for analytics and agentic systems. Collaborate with data scientists, analysts, and governance teams to improve pipeline performance, maintain compliance, and support downstream applications in a regulated healthcare environment.
