Queen Square Recruitment
Domain Consultant
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Domain Consultant – Pharmaceutical R&D & AI Platforms
Day Rate: £500 (Inside IR35) | Location: Maidenhead, UK (Hybrid)
Contract: 6 Months
Our client, a top global organization, is looking for a Senior Consultant to support the design and evolution of cutting-edge scientific research platforms that accelerate drug discovery and translational science. You'll work alongside architects, scientists, and technology teams to enable data-driven research by integrating complex biological, clinical, and real-world evidence into scalable cloud-based research environments. As a Domain Consultant, you'll bridge scientific research and technology architecture, helping shape modern research platforms that support advanced analytics, AI/ML, knowledge management, and evidence integration across the pharmaceutical R&D lifecycle.
Key Responsibilities
- Provide subject matter expertise across pharmaceutical R&D, translational science, and computational biology
- Design and advise on research data platforms, cloud analytics environments, and AI/ML architectures
- Support computational biology workflows including genetics, GWAS, bioinformatics pipelines, and multi-omics analytics
- Enable integration of research, clinical, real-world, and external biological datasets
- Advise on AI-powered scientific platforms including knowledge graphs, semantic layers, and retrieval-augmented generation (RAG)
- Support model development, deployment, and research reproducibility best practices
- Ensure research platforms align with FAIR data principles, governance, privacy, and responsible AI requirements
- Collaborate with enterprise architects, scientists, and engineering teams to enable seamless evidence sharing across research environments
- Contribute to strategic architecture decisions supporting scientific innovation and future platform capabilities
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Essential Skills & Experience
- 10+ years' experience within Pharmaceutical or Life Sciences
- Deep expertise in:
- Pharmaceutical R&D
- Computational Biology
- Human Genetics
- Translational Science
- Target Discovery
- Multi-Omics
- Evidence Integration
- Experience designing:
- Research Data Platforms
- Cloud Analytics Platforms
- AI/ML Platforms
- Knowledge Management Solutions
- Strong understanding of:
- GWAS
- Bioinformatics Pipelines
- Omics Analytics
- Scientific Workflows
- Model Development & Deployment
- Experience integrating:
- Clinical Data
- Real World Evidence (RWE)
- Public Biological Databases
- Literature & External Data Sources
- Knowledge of:
- Knowledge Graphs
- Semantic Layers
- Retrieval-Augmented Generation (RAG)
- Scientific Copilots
- Strong understanding of:
- FAIR Data Principles
- Data Governance
- Responsible AI
- Model Governance
- Research Data Privacy
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Desirable
- Laboratory Information Management Systems (LIMS)
- Clinical Data Management
- Pharmacovigilance
- Machine Learning and Artificial Intelligence platforms
- Experience working within global pharmaceutical research organizations
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