101 to 125 of 181 Biomedicine Jobs in England

support close collaboration with scientific teams. Key Responsibilities Application Development: Design and develop internal applications and web‐based tools for interrogating biological and biomedical data; build user interfaces using JavaScript/TypeScript and React; develop applications, services, and APIs using .NET; build integrations to external APIs and data providers (commercial … software engineering good practice. Required Skills & Experience BSc or MSc in Computer Science, Bioinformatics, or a closely related discipline. Demonstrated experience working with biological, biomedical, or life‐science data. Strong, hands‐on experience with .NET; JavaScript/TypeScript and React; working knowledge of Python. Proven experience working within Agile development ...

highly collaborative, international team where scientific curiosity, innovation and methodological excellence are valued equally. The environment offers a unique opportunity to work on complex biomedical questions while contributing to the evolution of advanced data science and agenticAI capabilities across Novo. Your skills and qualifications To succeed in this role … records, medical claims, registries or large human cohorts. Significant experience with causal inference, longitudinal modelling, clustering, survival analysis and modern AI approaches relevant to biomedical research. Strong programming skills in Python and/or R, including experience working in cloud-based high-performance computing environments and reproducible research practices. ...

Fellow to contribute to an ambitious programme of research within cancer sciences, with a strong focus on digital pathology, artificial intelligence, and data-driven biomedical discovery. The successful candidate will join a dynamic, interdisciplinary research environment and work closely with clinicians, computational scientists, and translational researchers. The role involves … development and application of advanced computational and statistical methods to analyse complex biomedical datasets, including large-scale imaging and clinical data. The post holder will contribute to ongoing research projects aimed at improving cancer diagnosis, prognosis, and treatment through innovative use of machine learning and AI techniques. Key responsibilities include ...

Clinical Development strategy, including cross-functional ways of working, tooling governance, and methodological standards. Essential Requirements PhD in Computer Science, Machine Learning, Statistics, Mathematics, Biomedical Informatics, Computational Biology, or a closely related quantitative discipline — with a strong, hands-on computational track record. 4–8 years of post-PhD experience … machine learning method development, with demonstrated and sustained impact in clinical, biomedical, or drug development settings (e.g., models delivered, first-author publications, patents, SaMD filings, open-source projects). Deep experience, knowledge, and understanding of one or more fields of biology, with hands-on experience working with biological data such ...

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 ...