Information Scientist - Content Analytics

ProClinical Limited
Slough, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Data Governance Graph Database Information Retrieval Information Sciences Python (Programming Language) Machine Learning Metadata Natural Language Processing Large Language Models Prompt Engineering
+1 more
Text Analysis

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

Requirements

  • 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

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