9 of 9 Permanent Biomedicine Jobs in the South East

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 ❯

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 ❯

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 ❯

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 ❯

models. Work across cloud and on-prem environments. Improve code quality and development speed. Key Skills/Experience: BS/BEng in Comp Sci, Biomedical or another relevant discipline Strong experience with software or algorithm development. Strong Python skills Experience with deep learning frameworks (TensorFlow/PyTorch.) Familiarity with version More ❯

Machine Learning Engineer to work on a cutting-edge healthcare AI project. You’ll focus on building and optimising models using LLMs , NLP , and biomedical data to transform clinical research. Key Skills: Machine Learning, LLMs, NLP Python, PyTorch, TensorFlow Healthcare or clinical data experience (preferred) Interested? Contact me directly at More ❯

in individuals with expertise in the following fields: Electrical Engineering Mechanical Engineering Materials Science & Engineering Chemical Engineering Computer Science/Engineering Physics Chemistry Biotechnology Biomedical Engineering Biochemistry Biology Aerospace Engineering Cybersecurity ... And many more! Desirable Qualifications: While Korean language proficiency is desirable, it is not required . If you More ❯

is your chance to make a real impact. Role Overview: As a Machine Learning Engineer, you'll design and optimize AI models to advance biomedical research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML … models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning models (e.g., CNNs, RNNs, transformers) for biological analysis. Apply NLP to process biomedical literature and clinical data. Collaborate with cross-disciplinary teams to ensure models meet More ❯

recruiting end-users, training and selecting moderators and observers, choosing sites, shipping and/or installing products. Moderating validation sections with end-users (Nurses, Biomedical Engineers, and IT professionals, etc). Writing and maintaining comprehensive validation documents, such as validation protocols and reports. Ensuring accurate traceability documentation to facilitate internal … coherence of Validation testing. You're the right fit if you have: A degree in engineering or equivalent in a relevant field (such as biomedical or electrical engineering, computer science, human factors/ergonomics, etc.). Previous experience in medical device validation or IT product validation is highly recommended. Comfort More ❯