domain architect laboratory informatics and scientific data

Domain Architect, Laboratory Informatics and Scientific Data Send CV 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/London for onsite collaboration. Location : The position is hybrid with regular travel to London/Oxford for in-person collaboration. Responsibilities : 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 : 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 with Databricks, Genestack, Mystra, PlutoBio or comparable solutions is desirable. Experience working within enterprise architecture governance and Technical Design Authority processes. We offer : Competitive compensation Remote or office work Flexible working hours A team with an excellent tech expertise If you don't see an open position that suits your skills stack and/or professional background but you are interested in working with us — please send your CV to [email protected] . We will try to find something special and interesting for you! Back to open job positions