1 to 25 of 33 Permanent Biomedicine Jobs in London

fast-paced projects within tight timelines# **What We're Looking For****Required Qualifications:*** **PhD** in a relevant quantitative field (e.g., Computational Biology, Biostatistics, Statistics, Biomedical Engineering, or Computer Science) with **1+ years** of academic/industry experience; **or** a **Master's Degree** in a relevant quantitative field with **3+ years ...

team to develop large‐scale AI solutions using cutting‐edge machine learning architectures. Our mission is to integrate data across clinical, real‐world, and biomedical sources to unlock new insights into patient trajectories—and transform how we understand and anticipate health outcomes.## ## **About the Role**We are seeking ...

safety‐critical context Nice to Have Experience with high‐speed data acquisition systems or real‐time signal processing pipelines Familiarity with optical or biomedical hardware integration Background in or exposure to data science or ML pipelines and the software interfaces that feed them Experience with CI/CD tooling, automated ...

leading search, ranking, recommendation, or AI evaluation organizations at scale. Experience building evaluation systems for LLM-powered applications and AI assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications ...

leading search, ranking, recommendation, or AI evaluation organizations at scale. Experience building evaluation systems for LLM-powered applications and AI assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications ...

stakeholders. A pragmatic, delivery-focused mindset It would be a bonus if you have any of the following experience: Working with health data or biomedical research data, electronic health records, and ideally genomic data. Developing models, algorithms or rule-based systems that support human decision-making, ideally where explainability, auditability ...

research, with a strong track record of independent technical leadership on complex, ambiguous problems Deep expertise in time-series signal processing and physiological or biomedical ML, including hands-on experience developing and validating models on noisy, real-world physiological data Demonstrated ability to take algorithmic work from research through ...

mentor junior scientists, guide external partners and contribute to intellectual-property strategy. ESSENTIAL EXPERIENCE • PhD or equivalent industry experience in chemistry, biochemistry, chemical biology, biomedical engineering, materials science or a related field. • Strong hands-on experience with aptamer-based biosensors or nucleic-acid affinity probes. • Expertise in surface chemistry, biomolecular ...

term development of software platform capabilities that improve internal efficiency and customer experience. Qualifications Bachelor’s degree in Software Engineering, Computer Science, Electronic Engineering, Biomedical Engineering, or a related discipline. Experience in developing software for hardware-based products, laboratory instruments, embedded systems, or evaluation platforms. Experience in one or more ...

CoMind, located in Greater London, seeks a Principal Data Scientist to lead data science initiatives in the development of neuromonitoring technology. You will take ownership of signal processing methodologies and ML model development in a ...

with standard IC design tools (e.g. Cadence Virtuoso) Experience with mixed‐signal simulation (e.g. Verilog‐A/AMS) Experience with ultra‐low‐power or biomedical circuits Knowledge of power management or full‐chip integration What We Offer A small, high‐performance team with direct ownership and rapid access to silicon ...

Knowledge Graph Lead Engineer to evaluate, optimize, and scale our enterprise semantic data infrastructure. In this role, you will bridge the gap between complex biomedical data and actionable AI applications. You will conduct comprehensive health checks on our current stack, refine bio-ontologies, an... WKCL1_UKTJ ...

Specialist Anaesthesia and Ventilator Engineer will have the following related skills/experience: Certified OEM trainings of Anaesthesia and ventilators 5-7 years in biomedical setting Understanding of appropriate national and local regulatory standards ...

Artificial Intelligence and Real-World Evidence, you will contribute to nationally significant programmes, including the National Institute for Health and Care Research (NIHR) Imperial Biomedical Research Centre and the Paddington Life Sciences initiative. You will work alongside clinicians, researchers, data scientists and engineers in a collaborative, forward-thinking environment, helping … scalable data platforms and services that enable high-quality health research. You will play an integral role in the continued evolution of the Imperial Biomedical Research Centre's Azure based NHS Secure Data Environment. You will also drive the delivery of a portfolio of translational projects within the Digital Health ...

roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Domain & Research Integration Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data — including datasets, chemical entities, genes, drugs, clinical trials, and patient … Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with ...

roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Domain & Research Integration Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data - including datasets, chemical entities, genes, drugs, clinical trials, and patient … statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data ...

into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data — including datasets, chemical entities, genes, drugs, clinical trials … statistical analysis Preferred qualifications PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data ...

platform engineering: building robust, well-tested, high-performance systems that scientists across GSK depend on every day, on modern cloud technology and the vast biomedical data sources available to us. Team Culture The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire … private connectivity. Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). Please take a copy of the Job Description, as this will not be available post closure ...

summary An exciting opportunity to use your transfusion and biomedical science knowledge to make a difference to the support, services and components NHSBT provides to hospital transfusion teams. You will focus on learning from complex data drawn from customer feedback such as complaints, surveys, credits and compliments using well developed … science. OR Equivalent highly specialist knowledge gained by examination of a professional body e.g. IBMS or BSHI. Health and Care Professional Council (HCPC) registered Biomedical Scientist (which must be maintained). Possess a valid driving licence, allowing you to drive in the UK. Demonstrates commitment to own continued professional development ...

pipelines , including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking … Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications Experience working on search, ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience ...

pipelines , including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re-ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking … Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications Experience working on search, ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience ...

pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute to the development and enhancement of RAG systems that integrate LLMs with trusted scientific and biomedical content. Experiment with embeddings, re‐ranking models, chunking strategies, and retrieval orchestration techniques to improve relevance and answer quality. Support development of semantic search, ranking … Preferred qualifications Experience building AI assistants, agentic workflows, or conversational AI applications. Experience working on search, ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience ...

fixed term contract until 31st March 2027. You will be required on site Monday-Friday. About us The role sits within the School of Biomedical Engineering & Imaging Sciences, and specifically within the MRI Clinical Research Department based at St Thomas Hospital. The School of Biomedical Engineering & Imaging Sciences are committed ...

models and agentic systems—researching, designing, implementing, and delivering solutions across a range of scientific tasks, leveraging high‐performance computing and the biomedical data sources available at GSK. Team Culture The AI4S team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long … e.g., NeurIPS, ICML, ICLR, AAAI), computational biology or bioinformatics venues. Knowledge of or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco ...

dollars in failed clinical trials. The next leap in medicine will come from AI models that learn biology. By training on large, multimodal biomedical datasets we believe it is possible to simulate immune disease, predict drug response, and radically improve how therapies are discovered, developed and delivered. We are backed … matters, understand what they value, develop the right proposition, and remain engaged until a meaningful partnership exists. You will likely bring: Substantial knowledge of biomedical data, including clinical, genomic, transcriptomic, proteomic, imaging, pathology, or other multimodal datasets. A strong understanding of what makes human data useful - or useless - for biological ...