Senior Data Engineer, Biomedical AI Pipelines

Boehringer Ingelheim GmbH; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Boehringer Ingelheim in London is hiring two Senior Data Engineers for the AI Enablement team. You will design and deliver robust data pipelines transforming harmonised biomedical datasets into AI-ready assets across multi-omics, imaging and health records.

You will own significant workstreams under guidance from the Senior Staff Data Engineer. The role requires a PhD in a quantitative field, hands-on ML data engineering experience, and familiarity with biomedical data governance.

Qualifications

• PhD in Machine Learning, Computer Science, Bioinformatics, Computational Biology or related field.
• Strong hands-on experience in data engineering for machine learning.
• Experience with medical imaging modalities or multi-omics datasets for cross-modal integration.
• Experience with entity linking/record linkage in biomedical/clinical contexts.
• Familiarity with data governance and controlled-access biomedical data environments.

Responsibilities

• Build and maintain data pipelines that enable model training, fine-tuning and inference in production.
• Develop entity linking and cross-modal integration pipelines across imaging, omics and clinical data.
• Ensure data access permissions, consent conditions and usage restrictions are respected in all pipelines.
• Create well-documented, tested code and participate in code reviews within the team.
• Stay current with advances in data engineering tools relevant to biomedical AI.
• Collaborate with AI Systems and IT to ensure infrastructure and tooling support.

Skills

Data engineering

ML pipelines

Entity linking

Cross-modal data

Education

PhD in ML or related field

Tools

Trusted Research Environments

Job description

Boehringer Ingelheim in London is hiring two Senior Data Engineers for the AI Enablement team. You will design and deliver robust data pipelines transforming harmonised biomedical datasets into AI-ready assets across multi-omics, imaging and health records.

You will own significant workstreams under guidance from the Senior Staff Data Engineer. The role requires a PhD in a quantitative field, hands-on ML data engineering experience, and familiarity with biomedical data governance.