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.