Domain Architect, In Silico

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. 

Requirements

• 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