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.

What You’ll Be Doing

Content Analytics & Knowledge Management

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

AI & Advanced Analytics

• 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

Information Science & R&D Support

• 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

Governance & Compliance

• Ensure adherence to copyright, licensing, and data governance standards
• Maintain data integrity, transparency, and audit trails for AI-driven processes

Collaboration, Training & Enablement

• 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

What We’re Looking For

Technical & Domain Skills

• Background in information science, library science, data science, bioinformatics, or similar
• Experience or strong interest in:
• NLP & LLMs (e.g. transformers, RAG, prompt engineering)
• Python for text analytics
• Knowledge graphs and ontologies
• Familiarity with data visualisation and scientific communication tools

Ways of Working

• Strong stakeholder and cross-functional collaboration skills
• Comfortable working in fast-evolving, tech-driven environments
• Curious mindset with a passion for emerging technologies and responsible AI

This is a 12-month Contract position