Information Scientist – Content Analytics; AI & Scientific Literature

We’re looking for an Information Scientist with a passion for AI and content analytics to join a forward-thinking biomedical environment. This role sits at the intersection of scientific literature, data science, and artificial intelligence
, supporting research and development teams with smarter, faster access to knowledge.

If you enjoy working with AI/NLP tools
, shaping information workflows, and enabling others through training and collaboration, this is a chance to make real impact in a highly innovative setting.

• Design and implement AI-enabled workflows for literature mining, summarisation, and trend analysis
• Manage and curate external scientific information sources following FAIR data principles

• Apply NLP, machine learning, and Large Language Models (LLMs) to improve information retrieval and content classification
• Explore and propose innovative AI-driven solutions for scientific content analysis

• Support biomedical and pharmaceutical R&D teams with structured, high-quality information
• Work with metadata, ontologies, and scientific knowledge systems to ensure data usability and reuse

• Ensure adherence to copyright, licensing, and data governance standards
• Maintain data integrity, transparency, and audit trails for AI-driven processes
• Act as a subject matter expert for AI-based content analytics initiatives
• Deliver training and guidance on AI/NLP tools and best practices
• Develop guidelines and frameworks to upskill teams in digital and data science capabilities

• Background in information science, library science, data science, bioinformatics, or similar
• Experience or strong interest in:
• Python for text analytics
• Knowledge graphs and ontologies
• Familiarity with data visualisation and scientific communication tools

• Strong stakeholder and cross-functional collaboration skills
• Curious mindset with a passion for emerging technologies and responsible AI