Senior Data Engineer

Salary: £70,000 - 110,000 per year

Requirements:

• PhD in Machine Learning, Computer Science, Bioinformatics, Computational Biology or a related quantitative field
• Strong hands-on experience in data engineering for machine learning with proficiency in modern data engineering tech stacks
• Experience working with medical imaging modalities (radiology and/or histopathology) or multi-omics modalities (transcriptomics, proteomics) and a working knowledge of other biomedical data modalities sufficient to support cross-modal integration
• Practical experience with entity linking or record linkage, ideally in a biomedical or clinical context
• Strong understanding of biomedical data characteristics such as variant data formats, expression matrices and clinical coding standards such as SNOMED and ICD-10
• Familiarity with data governance frameworks applicable to biomedical and clinical data and Trusted Research Environments or controlled access biomedical data environments

Responsibilities:

• Build and maintain entity linking pipelines that connect patients, samples and other biomedical entities across modalities such as imaging, clinical and multi-omics records
• Build and maintain cross-modal integration pipelines that combine linked imaging, multi-omics and clinical records into unified assets ready for multimodal model training, fine-tuning and inference
• Ensure pipelines and datasets are built and operated in accordance with data access permissions, consent conditions and usage restrictions, including within Trusted Research Environments or other controlled access settings
• Build and maintain biomedical benchmark datasets with versioning and documentation
• Write clean, well-tested, well-documented code that meets the required engineering standards and contribute to code reviews within the data engineering team
• Stay current with advances in data engineering tooling and practices relevant to biomedical AI

Technologies:

• AI
• Fine-tuning
• Support
• Machine Learning
• Model Training

More:

We are the AI Accelerator, based in London and part of Computational Innovation, a global organisation spanning computational biology, human genetics, data excellence and AI. Our mission is to build production-quality AI capabilities that deepen understanding of disease biology and increase the probability of success by applying neural-based methods across heterogeneous biomedical data. This is a hybrid role with approximately 3 days a week in the office. We are also recognised as a Top Employer in the UK, reflecting our commitment to building an exceptional workplace through strong people practices and supportive HR policies.

last updated 36 week of 2026