101 to 125 of 178 Biomedicine Jobs in England

technologies. Your role We are looking for an enthusiastic and talented scientific developer in the area of cheminformatics or bioinformatics with an interest in biomedical knowledge extraction to join the Open Targets Safety 2.0 project. You should enjoy addressing challenges in knowledge extraction and data standardisation, and want to contribute … side-effect resource Develop machine learning pipelines for extracting drug side effects from drug labels, clinical trials, publications and other documents, and mapping to biomedical ontologies Integrate project workflows with existing infrastructures in the EBI Chemical Biology Resources and Open Targets teams Assist with data curation to prepare clean ...

members to embrace AI in their daily work and continuously find new ways to use it effectively. Skills & Experience: Background in physics, medical physics, biomedical engineering, optical engineering, biomedical optics, or a related discipline. 5+ years undertaking laboratory testing and development of physiological or biomedical measurement systems, including experimental design … different audiences. Experience working in an interdisciplinary team across optics, engineering, neuroscience, clinical science, product development, or data science. Nice to have PhD in biomedical optics, medical physics, biomedical engineering, optical engineering, or a related discipline. Experience with diffuse correlation spectroscopy, near‐infrared spectroscopy, photoplethysmography, optical coherence tomography, or related ...

Research Fellow (UCL – Data Science/Biomedical Research) University College London (UCL) London, United Kingdom General Description University College London (UCL) is seeking to appoint a Research Fellow to contribute to an advanced research programme within a dynamic and collaborative academic environment. The role is focused on applying data science … computational, and quantitative approaches to address complex challenges in biomedical and health-related research. The successful candidate will work as part of a multidisciplinary team, collaborating with researchers, clinicians, and data scientists to analyse large-scale datasets and develop innovative methodologies. Responsibilities include designing and implementing research strategies, developing computational ...

digital pathology. The position is based within a leading academic research environment and supports ongoing projects focused on applying advanced computational methods to biomedical imaging and pathology data. The successful candidate will work as part of a multidisciplinary team involving clinicians, data scientists, and researchers, contributing to the development … research setting, with access to state-of-the-art facilities and resources. Eligibility Criteria: A PhD (or near completion) in Computer Science, Artificial Intelligence, Biomedical Engineering, or a closely related discipline Demonstrated experience in machine learning, deep learning, or computer vision Experience working with medical imaging or digital pathology data ...

capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict … core component of the AI Accelerator is AI Systems, a team focused on designing, building and deploying multimodal foundation models across the vast biomedical data landscape that will be used within Computational Innovation to enhance and accelerate portfolio decision-making. THE POSITION We are seeking a Staff AI Scientist ...

from millions of scientific publications, clinical trials, regulatory documents, and other complex data sources in minutes. We are building the world’s most advanced biomedical knowledge platform, powered by a high-precision Knowledge Graph and GenAI capabilities. Our technology is already used by leading biopharmaceutical organizations to accelerate drug discovery … rapidly and expanding our product suite and market presence. About the team We’re hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience ...

platform for enterprise‐scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world … including ICONIQ, Index Ventures, Pentech and Marathon. About the team We’re hiring AI engineers to help us transform research outcomes in biomedical sciences. We utilise generative AI and agents to help scientists find novel connections and insights from biomedical literature and datasets. Delivering a faster research experience ...

summary Addenbrookes CUH Biochemical Genetics Unit is looking for an experienced, versatile, and highly dynamic Biomedical Scientist to join our team of BMS' and MLA's. To be suitable for this substantive role, you must have a degree in Biomedical Science or equivalent and be registered with the HCPC. Completed … assessment will be considered (starting salary Band 4 until HCPC registration has been awarded.) You will have the following:- Experience of working in a Biomedical Science laboratory Experience of IT systems including LIMS systems and Microsoft Office packages Competency to perform testing and validate results to defined protocols Experience ...

improve understanding of disease biology and increase the probability of successful medicines. The AI Systems team designs, builds and deploys multimodal foundation models across biomedical data to enhance and accelerate portfolio decision-making. Задачи: Bring ML engineering expertise into architectural design, ensuring foundation models are efficient and scalable; Implement biomedical … MLOps engineers with documentation covering capabilities, known limitations, failure modes and retraining criteria; Stay current with advances in ML engineering, distributed training and biomedical AI tooling. Требования: Hold a postgraduate degree in Machine Learning, Computer Science, Computational Biology or a related technical field; Have a PhD or an MSc with ...

fault-finding skills Good IT, PC and networking knowledge Exposure to SQL Server or database systems would be advantageous HNC, HND or Degree in Biomedical Engineering, Electronics or a related discipline (or equivalent engineering experience) Excellent communication and organisational skills A full UK driving licence Experience within Respiratory Diagnostics, Pulmonary … Function Testing, Sports Science, Biomedical Engineering or Clinical Diagnostics would be highly advantageous. However, applications are welcomed from engineers with transferable experience from other equipment sectors. What's On Offer Competitive salary Company vehicle Permanent, full-time position Monday-Friday working (37.5 hours) Comprehensive product training Autonomy to manage your ...

cases; Expertise in structured and unstructured life sciences data, including clinical and real‐world datasets; Familiarity with NLP and deep learning techniques applied to biomedical data; Knowledge of Azure, AWS, or GCP and model deployment using MLOps frameworks; Strong Python and SQL programming skills, with experience in PyTorch, TensorFlow … stakeholders and aligning technical outcomes with business value; Nice to have: Experience applying AI in drug discovery, safety monitoring, or clinical development; understanding of biomedical ontologies or knowledge graph applications; knowledge of FDA and EMA regulatory frameworks and data privacy considerations; background in computational biology, biostatistics, or a related scientific ...

unstructured life sciences data, including clinical and real-world datasets Familiarity with machine learning techniques such as NLP and deep learning, applied to biomedical data Knowledge of cloud technologies (Azure, AWS or GCP) and model deployment using MLOps frameworks Strong programming skills in Python and SQL with experience in frameworks … aligning technical outcomes with business value Nice to have Experience applying AI in drug discovery, safety monitoring or clinical development contexts Understanding of biomedical ontologies or knowledge graph applications Knowledge of regulatory frameworks (FDA, EMA) and experience with data privacy considerations Background in computational biology, biostatistics or related scientific discipline ...

capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict … creates value when it can be reproduced, scaled, deployed and trusted.MLOpssits at the heart of that challenge. The AI Accelerator's ability to train biomedical foundation models, manage experimentation at scale, operationalise discoveries and deliver production-quality AI depends on the ML platform, tooling and practices that underpin the entire ...

technologies. In this role, you will research and develop post-training methods for Enchant - our multimodal transformer model trained on a wide variety of biomedical data - pushing the boundaries of what large-scale foundation models can achieve in drug discovery. The role centers on designing and evaluating post-training approaches … Biases) PREFERRED Experience with multimodal or multi-task model architectures Training and inference optimization (e.g., mixed precision, kernel optimization, quantization, distributed strategies) Familiarity with biomedical, chemical, or biological data domains Distributed training at scale HPC or large-scale training operations experience ABOUT IAMBIC THERAPEUTICS Iambic is a clinical-stage life ...

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 … 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 ...

capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict … Accelerator is AI Enablement, a team that provides the support framework to make our ambitions a technical reality. It could be provisioning integrated, multimodal biomedical data for model training and inference. It could be managing the lifecycle of models provided by AI Systems. It could be working with ...

Biomedical Scientist PureLab-UK - London 37.5 Hours & Permanent Salary: Up to £45,000.00 per year (depending on level of experience, training and qualification) PureLab-UK in Central London is part of Circle Health Group, Britain's leading provider of independent healthcare with a nationwide network of hospitals & clinics, performing more … complex surgery than any other private healthcare provider in the country. We have an opportunity for a Biomedical Scientist join their team of staff in the Blood Sciences department. This is a full time role for 37.5 hours a week. The role holder will be required to cover a flexible ...

summary We have an excellent opportunity for an experienced HCPC-registered Biomedical Scientist to join our dynamic, supportive and friendly Clinical Biochemistry team at Epsom and St Helier Hospitals. Applications are invited from suitably qualified, motivated Biomedical Scientists to join our well-established team within this busy UKAS-accredited pathology … Pathology may be required according to service needs. Main duties of the job We are seeking to recruit a suitably qualified Band 6 Specialist Biomedical Scientist to join the Clinical Blood Sciences team. The successful candidate will work primarily within Automated Biochemistry , with opportunities to work across other specialist areas ...

driven clinical innovation. The successful candidate will contribute to cutting-edge research at the intersection of digital pathology, machine learning, and computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data … aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with multidisciplinary teams of clinicians, data scientists, and biomedical researchers. Responsibilities include designing and implementing AI algorithms, managing and analysing large-scale pathological imaging datasets, contributing to high-impact publications, supporting grant applications ...

capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict … core component of the AI Accelerator is AI Systems, a team focused on designing, building and deploying multimodal foundation models across the vast biomedical data landscape that will be used within Computational Innovation to enhance and accelerate portfolio decision-making. THE POSITION We are looking for an ML Engineer ...

skills and experience. Application closing date: 4th of October 2026 at 23:59 About us The Francis Crick Institute is Europe’s largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart … economy. About the role We are looking for a collaborative and self-motivated Senior Bioinformatician with extensive AI/ML experience analysing biomedical data in a research environment to join the Bioinformatics and Biostatistics team. You will collaborate with leading scientists to analyse complex biological datasets, uncover new insights ...

within the Centre for Engineering & Life Sciences (CEL) interface. This role is embedded in an interdisciplinary research environment that bridges engineering, physical sciences, and biomedical research to address complex challenges in human health and disease. The successful candidate will contribute to innovative research projects focused on the development and application … collaboration. The appointment is full-time and fixed-term, aligned with the duration of the funded project. Eligibility Criteria PhD in bioengineering, computational biology, biomedical engineering, physics, or a closely related discipline Evidence of high-quality research output, such as peer-reviewed publications Strong academic background in interdisciplinary research environments ...

take appropriate corrective action. Maintain professional development and complete required training, including ISMS, GLP, CQC, DocuSign and GDPR. Required Skills and Experience: Degree in Biomedical science, biology, chemistry, or a related field. Currently HCPC registered as a Biomedical Scientist (Mandatory) Completed IBMS Registration Portfolio OR equivalent work experience Minimum ...

capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict … could be simulating the effect of modulating a target of interest. None of this is possible without data. The quality, accessibility and engineering of biomedical data ultimately determine the quality of the models built upon them. The Data Engineering function provides the foundation on which the AI Accelerator operates ...