Domain Architect, In Silico

About the role

We are seeking a Domain Architect for the In Silico stream to assess the current research data, computational biology, bioinformatics and AI/ML environments.

The role is hybrid, with expected visits to Oxford or London for onsite collaboration.

Responsibilities

• Design research data platforms and cloud analytics environments.
• Define environments supporting model development, validation, deployment and reproducible research.
• Define the target-state architecture for:
• human genetics;
• genome-wide association studies;
• rare-disease genetics;
• target prioritisation;
• translational science;
• computational biology;
• bioinformatics;
• multi-omics;
• multimodal evidence integration.

What we expect:

• Deep experience in pharmaceutical R&D digital transformation.
• Practical experience in computational biology, bioinformatics and translational science.
• Strong understanding of human genetics, GWAS, rare-disease genetics and target discovery.
• Experience with multi-omics and multimodal evidence integration.
• Experience designing research data platforms and data-intensive scientific workflows.
• Experience designing cloud analytics and AI/ML platform architectures.
• Understanding of the full machine-learning lifecycle, including development, validation, deployment, monitoring and reproducibility.
• Experience with knowledge graphs, semantic technologies, retrieval-augmented generation or scientific copilots.
• Experience integrating research, clinical, real-world evidence, literature and public data sources.
• Knowledge of FAIR principles, data governance, privacy, security, responsible AI and model governance.
• Experience working within enterprise architecture governance and Technical Design Authority processes.

Nice to have:

• Experience with Databricks, Genestack, Mystra, PlutoBio or comparable solutions.

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