exciting opportunity for a Research DataOps Engineer with a passion for research delivery, to join an Oxford University spin-out and to implement a Data Lake House from the ground up. This role is critical to support the next phase of our medical imaging AI and Analytics research. The … spanning Caristo and Oxford University. This individual will join a fast-paced and talented research team of 8 individuals to support a variety of data and computing needs. The successful candidate will design and build out a data lake house, whilst being expected to actively contribute to ongoing … data-centric product research. The ideal candidate will: be motivated at the thought of working in an innovative healthcare start-up with a strong collaborative research and operations culture, helping to build a global business that will have material impact on the health and wellbeing of potentially millions of More ❯
to the future of medicine, we want to hear from you. Role Overview: As a Bioinformatician, you'll work at the intersection of 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 and treatments. Key Responsibilities: Analyze and interpret genomic, transcriptomic, proteomic, and clinical data to support drug discovery projects. Develop and optimize bioinformatics tools and … pipelines for high-throughput data analysis. Collaborate with machine learning engineers and biologists to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and More ❯
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 scientific goals. Continuously monitor … and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. More ❯
Check our Careers Site at Siemens Healthineers - Oxford () As an equal opportunity employer, we welcome applications from individuals with disabilities. We care about your dataprivacy and take compliance with GDPR as well as other data protection legislation seriously. For this reason, we ask you not More ❯
