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.