1 to 25 of 231 Biomedicine Jobs in England

being listed as author) at AI/ML/NLP/CV conferences (e.g. NeuraIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, KDD, etc.) and biomedical journals Perks and Benefits Salary depending on experience. Benefits include private medical insurance, life insurance and travel cards. You would join a small, dedicated and More ❯

biology, data science, and drug discovery. You’ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a direct impact on the development of new therapies More ❯

biology, data science, and drug discovery. You’ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a direct impact on the development of new therapies More ❯

genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design and develop interactive dashboards and visualization tools to support data-driven decision-making. Work on single-cell resolution data from high-throughput imaging More ❯

genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design and develop interactive dashboards and visualization tools to support data-driven decision-making. Work on single-cell resolution data from high-throughput imaging More ❯

genomics, transcriptomics, proteomics), imaging data and clinical data to extract meaningful insights. Build robust data pipelines for processing, integrating, and mining structured and unstructured biomedical data. Design and develop interactive dashboards and visualization tools to support data-driven decision-making. Work on single-cell resolution data from high-throughput imaging More ❯

infrastructure, integrating new tools and technologies in a continuously evolving environment. You'rethe right fit if: Bachelors or Masters degree Candidate in Computer Science, Biomedical Engineering or relevant equivalent technical experience Understanding of server/client base application and environment Ability to work collaboratively in a cross-functional, cross-discipline More ❯

and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AI/ML Biomedical AI Team applies machine learning and AI methods to questions at the start and end of the journey of drug development. Our viral evolution group More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI More ❯

Role: GenAI Architect Duration: long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 8-10 years of experience in developing Data Science, AI More ❯

developing cutting-edge products and solutions in machine learning and AI. If this excites you, we'd love to chat. The AI/ML Biomedical AI Team applies machine learning and AI methods to questions at the start and end of drug development. Our viral evolution group focuses on applying More ❯

Among others, you will: Spearhead the development and deployment of next-generation AI/ML models, on cellular imaging alongside other modalities (molecular, transcriptomics, biomedical literature) to enhance target and biomarker discovery. Set the strategy for incorporating generative AI into early-stage drug discovery, working closely with cross-functional teams. More ❯

requirements. Exceptional report writing skills and familiarity with MS Office tools. Demonstrated project management and time-planning expertise. A foundational understanding of clinical or biomedical engineering concepts. Fluency in English. More ❯

Day: Lead the development and deployment of next-generation AI/ML models using cellular imaging and other biological data types (e.g., molecular, transcriptomics, biomedical literature). Define the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. More ❯

Day: Lead the development and deployment of next-generation AI/ML models using cellular imaging and other biological data types (e.g., molecular, transcriptomics, biomedical literature). Define the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. More ❯

Day: Lead the development and deployment of next-generation AI/ML models using cellular imaging and other biological data types (e.g., molecular, transcriptomics, biomedical literature). Define the strategy for applying generative AI in early-stage drug discovery, collaborating with cross-functional teams across biology, chemistry, and data science. More ❯

position is part of a broader project aimed at implementing high-density sensing platforms. A graduate-level background (or equivalent) in Physics, Materials Science, Biomedical Engineering, Molecular Bioengineering, Chemistry, or a related field is required. Experience working with MEMS structures and nanofabrication is highly desirable. Strong knowledge of photolithography and More ❯

ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

ML platform (e.g., PyTorch, TensorFlow). Experience with Graph ML/GNN OR Single Cell Transcriptomics Strong understanding of transformers and their applications in biomedical research. Knowledge of lab-in-the-loop frameworks and integration of ML techniques with experimental data. More ❯

Design and apply agent-based models across large, multimodal patient datasets Collaborate with top-tier scientists and engineers to build AI systems tailored for biomedical discovery Contribute to long-term research programs focused on autonomous AI agents Lead and implement state-of-the-art ML methods into a therapeutic platform More ❯

Design and apply agent-based models across large, multimodal patient datasets Collaborate with top-tier scientists and engineers to build AI systems tailored for biomedical discovery Contribute to long-term research programs focused on autonomous AI agents Lead and implement state-of-the-art ML methods into a therapeutic platform More ❯