Information Scientist

QCS Staffing; Slough; On-site; GBP 55,000 - 75,000; Full time

Job summary

QCS Staffing is seeking an Information Scientist (Content Analytics) for a 12-month contract in Slough. The role focuses on applying information science and AI-enabled tools to extract insights from biomedical literature and external data, shaping content strategies for R&D.

You will work at the intersection of information science, analytics, and responsible AI adoption to enable better collaboration across teams.

Qualifications

• Experience or interest in NLP and LLM applications.
• Familiarity with data visualization and scientific communication tools.
• Knowledge graph and ontology management.
• Python and AI frameworks for text analytics.

Responsibilities

• Apply information science expertise and AI-enabled tools to extract insights from biomedical literature and external data sources.
• Translate scientific and business questions into information and content strategies.
• Use AI tools to support discovery, summarisation, and sense-making rather than developing models.
• Operate at the intersection of information science, analytics, and responsible AI adoption.
• Enable R&D teams to work more efficiently and effectively with large volumes of content.

Skills

NLP

LLM applications

Data visualization

Knowledge graph

Python

AI frameworks

Tools

Transformers

RAG tooling

Job description

Information Scientist (Content Analytics) - UK, Slough - 12 Month Contract

We are looking for an experienced Information Scientist for a fantastic 12 month contract based in Slough.

You will be working with our client who are a global biopharmaceutical organisation committed to improving the lives of people afflicted with neurological and immunological disease.

This is a superb opportunity if you are looking to advance your career in the field with a supportive and innovative company that will put you first.

What You’ll Do

• Apply information science expertise and AI-enabled tools to extract insights from biomedical literature and external data sources.
• Translate scientific and business questions into effective information and content strategies.
• Use AI tools to support discovery, summarisation, and sense-making rather than developing models.
• Operate at the intersection of information science, analytics, and responsible AI adoption.
• Enable R&D teams to work more efficiently and effectively with large volumes of content.

What you’ll need:

• Experience or interest in NLP and LLM applications (transformers, Retrieval-Augmented Generation, prompt engineering).
• Familiarity with data visualization and scientific communication tools.
• Knowledge graph and ontology management.
• Python and AI frameworks for text analytics.