Information Scientist – Content Analytics

Proclinical Staffing; Slough; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading global biopharma organization is seeking an Information Scientist specializing in Content Analytics. This hybrid role involves designing AI/NLP workflows, applying LLMs for enhanced information retrieval, and supporting research teams with structured data. The candidate should have a background in NLP and Python, along with strong communication skills to thrive in a collaborative environment. This is a unique opportunity to work at the intersection of science and technology, with a focus on driving innovation through data-driven R&D.

Qualifications

• Experience in NLP, LLMs, or similar technologies.
• Strong Python skills.
• Familiarity with metadata and semantic technologies.

Responsibilities

• Design AI/NLP workflows for literature mining.
• Apply LLMs to improve information retrieval.
• Support R&D teams with structured scientific information.
• Acting as a subject matter expert for AI‑driven content analytics.
• Ensuring compliance with copyright, licensing, and data governance.
• Delivering training and developing best‑practice guidelines for AI/NLP tools.

Skills

NLP

AI

Python

Communication

Collaboration

Tools

AI/text analytics frameworks

Job description

📍 Slough | Hybrid/Remote

A leading global biopharma organisation is looking for an Information Scientist specialising in Content Analytics to join their Scientific Information & Intelligence team. This is an exciting opportunity for someone passionate about AI, NLP, and biomedical information to help shape the future of data‑driven R&D.

You’ll work at the intersection of science and technology—using advanced AI tools, LLMs, and text analytics to extract insights from biomedical literature, build smarter workflows, and support teams across the business. If you enjoy exploring emerging technologies, enabling others through training, and driving responsible AI practices, this role offers a fantastic platform.

What you’ll be doing

• Designing AI/NLP workflows for literature mining, summarisation, and trend analysis
• Applying LLMs and machine learning to improve information retrieval and content classification
• Supporting R&D teams with structured scientific information, metadata, ontologies, and FAIR data principles
• Acting as a subject matter expert for AI‑driven content analytics
• Ensuring compliance with copyright, licensing, and data governance
• Delivering training and developing best‑practice guidelines for AI/NLP tools

What you’ll bring

• Experience or strong interest in NLP, LLMs, transformers, RAG, or prompt engineering
• Python skills and familiarity with AI/text analytics frameworks
• Knowledge of ontologies, knowledge graphs, metadata, or semantic technologies
• Strong communication, collaboration, and adaptability