Information Scientist – Content Analytics
SKILLS
FULL DESCRIPTION
Information Scientist – Content Analytics
Transforming biomedical literature into actionable insights through ethical, AI‑powered content analytics.
[Employer hidden — view at passion-project.co.uk] is seeking an Information Scientist – Content Analytics to join a dynamic and innovative team at the forefront of scientific discovery. This role focuses on harnessing advanced AI tools and data analytics to unlock insights from biomedical literature, enabling smarter workflows and championing ethical AI practices. If you thrive in fast-evolving environments, enjoy exploring new technologies, and want to empower others through training and knowledge sharing, this is your opportunity to make a meaningful impact in pharmaceutical R&D.
Please note that to be considered for this role you must have the right to work in this location.
Responsibilities:
*Content Analytics & Knowledge Management:*
- Design and implement workflows for literature mining, summarization, and trend analysis using AI-NLP tools.
- Develop and maintain external information endpoints ensuring FAIR principles (Findable, Accessible, Interoperable, Reusable).
*AI & Advanced Analytics:*
- Apply machine learning and large language models (LLMs) to enhance information retrieval and automate content classification.
- Research and propose innovative AI solutions for scientific content analysis.
*Information Science:*
- Support pharmaceutical R&D processes.
- Apply knowledge of data lifecycle, metadata, ontologies, and scientific knowledge systems.
- Ensure data is structured for scientific use leveraging FAIR data principles and semantic technologies.
*Collaboration & Stakeholder Engagement:*
- Partner with cross-functional teams as required.
- Act as a subject matter expert for AI-driven content analytics initiatives.
*Governance & Compliance:*
- Ensure adherence to copyright licensing and data governance standards for external and internal content.
- Implement robust data integrity measures and maintain audit trails for AI-driven processes.
*Training & Enablement:*
- Provide training on AI-NLP tools and best practices for content analytics.
- Develop guidelines and competency frameworks for upskilling in digital and data science capabilities through the application of content analytics.
Key Skills and Requirements:
*Technical Skills:*
- Experience or interest in NLP and LLM applications (e.g., transformers, Retrieval-Augmented Generation, prompt engineering).
- Familiarity with data visualization and scientific communication tools.
- Knowledge graph and ontology management.
- Proficiency in Python and AI frameworks for text analytics.
*Soft Skills:*
- Cross-functional collaboration.
- Project management and stakeholder communication.
- Adaptability to emerging technologies.
For more information, please contact Indre Semeskeviciute.
If you are interested in applying to this exciting opportunity, then please click ‘Apply’ or to speak to one of our specialists visit the ‘Contact Us’ page.
[Employer hidden] is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. [Employer hidden] is acting as an Employment Agency in relation to this vacancy.
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