Information Scientist - Biomedical Data & AI

Are you curious about how AI is transforming biomedical research? A successful pharmaceutical company is looking for an Information Scientist to join a forward-thinking team working at the cutting edge of information science, AI and pharmaceutical R&D.

This role is ideal for someone who enjoys exploring new technologies, applying AI to real scientific challenges and helping researchers unlock insight from complex biomedical literature.

What you’ll be doing

• Using AI, NLP and LLMs to mine, summarise and analyse biomedical literature
  
  
• Designing smarter workflows for content analytics and knowledge management
  
  
• Supporting pharmaceutical R&D through high-quality, FAIR data and semantic technologies
  
  
• Acting as a subject matter expert for AI-driven content analytics
  
  
• Collaborating with cross-functional teams across science, data and digital
  
  
• Championing ethical, compliant and responsible use of AI
  
  
• Training and enabling teams to get the most from modern content analytics tools
  
  What we’re looking for
  
  
• Background in Drug Discovery, Biomedical Research or similar with an ability to interpret scientific literature
  
  
• Experience or strong interest in NLP and LLM technologies (transformers, RAG, prompt engineering)
  
  
• Python and AI frameworks for text analytics
  
  
• Knowledge of ontologies, knowledge graphs and semantic technologies
  
  
• Confident communicator who enjoys working with diverse stakeholders
  
  
• Curious, adaptable and comfortable in a fast-evolving environment
  
  Why apply?
  
  
• Work at the intersection of AI and biomedical science
  
  
• Influence how scientific knowledge is discovered and shared
  
  
• Join a collaborative, innovative and future-focused environment
  
  The role is offered on an initial 12 month contract; the job holder is expected to work from the company's HQ in Slough minimum 2 days/week.
  
  Keywords: Information Scientist, Content Analytics, Knowledge Management, Scientific Information, Biomedical Information, Information Science, Artificial Intelligence AI, Natural Language Processing (NLP), Large Language Models (LLMs), Machine Learning, Text Analytics, Literature Mining, Retrieval Augmented Generation (RAG), Prompt Engineering, Python, Knowledge Graphs, Ontologies, Semantic Technologies, London, Slough, Reading, Oxford, VRS9353SE