AI Data Analyst

Ready to shape the future of AI-powered knowledge management and help transform how a global biopharmaceutical organisation learns, collaborates, and innovates?

R&D Partners is seeking a highly motivated AI Data Analyst to support strategic AI and Knowledge Management initiatives within a global biopharmaceutical environment. This role is ideal for a Master's student passionate about working at the intersection of AI tools, knowledge management, knowledge graph design, information architecture, and user-centric digital product design.

The selected candidate will collaborate closely with the MSAT Knowledge Management Lead to design and deploy innovative solutions such as the AI Academy, Data Academy, Process Wiki
- Knowledge Navigator, and related AI-enabled knowledge tools.

Please note that to be considered for this role you must have the right to work in this location.

• Design learning pathways, training curricula, capability frameworks, and bootcamp concepts.
• Develop practical learning materials, workshop exercises, and reusable academy content.
• Research emerging AI tools and translate relevant use cases into MSAT-oriented training examples.
• Create AI use case catalogues, prompt examples, and practical demonstrations for knowledge work, data work, and process intelligence.
• Support launch communications, stakeholder updates, and executive-ready summaries.

• Design a modern digital knowledge infrastructure for processing knowledge, data, and modeling-related content.
• Create intuitive navigation structures, page concepts, mock-ups, wireframes, and proof-of-concept designs.
• Enhance discoverability through taxonomy, metadata, and search-oriented content structuring.
• Integrate multiple knowledge sources into a unified knowledge navigator experience.

• Apply AI productivity tools (e.g., Microsoft Copilot, Cowork) to accelerate content creation, knowledge structuring, and prototyping.
• Contribute to conceptual knowledge graph design by defining entities, relationships, and metadata patterns.
• Evaluate approaches for semantic search, retrieval-augmented generation (RAG), and AI-assisted knowledge retrieval.
• Develop concepts for AI-enabled assistants, process wiki agents, and knowledge workflows.
• Document design decisions, assumptions, and recommendations in a structured and reusable format.

• Design clean, user-friendly web pages and knowledge portal layouts.
• Apply principles of information architecture, UX/UI design, and visual storytelling.
• Create clickable prototypes or lightweight demonstrators where appropriate.

• Practical experience in several of the following areas is recommended:
• Generative AI and large language model usage in real-world scenarios.
• AI assistant platforms like Microsoft Copilot or Cowork.
• Knowledge graphs, semantic models, taxonomies, or metadata modeling.
• RAG architecture, semantic search, or AI-enabled knowledge retrieval.
• SharePoint Online, Microsoft 365, or enterprise collaboration platforms.
• UX/UI design, wire framing, and user journey development.
• Python, data visualization, or graph database concepts (a plus).