Information Scientist - Content Analytics
Location: Hybrid near Reading.
Are you ready to help shape the future of biomedical information? Join a dynamic, innovative team at the forefront of scientific discovery. As an Information Scientist specializing in Content Analytics, you'll combine information science expertise with advanced AI and data analytics to unlock insights from global biomedical literature.
In this role, you'll design smarter, AI-enabled workflows, champion ethical and responsible AI practices, and collaborate across pharmaceutical R&D teams. If you thrive in a fast-evolving environment, enjoy exploring emerging technologies, and are passionate about enabling others through training and knowledge sharing, this is an opportunity to make a real impact.
Key Responsibilities
- Content Analytics & Knowledge Management
- Design and implement AI-enabled workflows for literature mining, summarization, and trend analysis using NLP tools.
- Develop and maintain external information endpoints, ensuring adherence to FAIR principles (Findable, Accessible, Interoperable, Reusable).
- Enable interoperability across systems and platforms to support scientific research.
- AI & Advanced Analytics
- Apply machine learning and LLMs to improve information retrieval and automate content classification.
- Research, evaluate, and propose innovative AI solutions for scientific content analysis.
- Information Science
- Support pharmaceutical R&D processes with high-quality, well-structured scientific information.
- Apply expertise in data lifecycle management, metadata standards, ontologies, and knowledge systems.
- Leverage semantic technologies to ensure data is structured and reusable for scientific use.
- Governance & Compliance
- Ensure compliance with copyright, licensing, and data governance requirements.
- Implement data integrity measures and maintain audit trails for AI-enabled workflows.
- Training & Enablement
- Deliver training on AI/NLP tools and best practices for content analytics.
- Develop guidelines and competency frameworks to upskill teams in digital and data science capabilities.
Core Skills & Competencies
- Technical Skills
- Experience or strong interest in NLP and LLM applications (e.g., transformers, Retrieval-Augmented Generation, prompt engineering).
- Python and AI frameworks for text analytics.
- Knowledge of knowledge graphs and ontology management.
- Familiarity with data visualization and scientific communication tools.
- Soft Skills
- Strong cross-functional collaboration and stakeholder engagement skills.
- Project management and clear scientific communication.
- Adaptability and curiosity for emerging technologies.
Ready to join a high-impact team driving digital transformation?
About Planet Pharma
Planet Pharma is an American parented Employment Business/Agency that provides global staffing services with its head quarters in Chicago and our EMEA regional office located in Central London. We have invested significantly in creating a robust international platform that enables us to work compliantly in 30+ countries with a current network of 2500+ active contractors globally as well as a very strong permanent / direct hire recruitment offering.
We are an equal opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation or age.
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Contact: Augustus Chukwuma (Recruitment Team Lead) - E: