Information Scientist - Content Analytics

Reference: 627812Posted: 2026-06-05Location: Berkshire, Greater LondonCompany: Planet Pharma GroupContact: ApplicationsEmail: applications@staffingfuture.comJoin Our Team as an Information Scientist – Content Analytics and Drive Innovation in Scientific Content DiscoveryAre you passionate about harnessing the power of information science and emerging AI technologies to unlock insights from complex biomedical literature? We are seeking a dynamic and skilled Information Scientist – Content Analytics to play a pivotal role at the intersection of science, technology, and data-driven discovery. In this pivotal position, you will leverage your expertise to transform scientific questions into effective content strategies, enabling R&D teams to work smarter and accelerate innovation without the need for building AI models yourself. This is an exciting opportunity to shape the future of scientific knowledge management within a forward-thinking organization.What You’ll Need to Succeed:Solid foundation in information science, including literature searching, content analysis, and knowledge synthesisProven ability to translate scientific and business questions into effective search and analysis techniquesFamiliarity with metadata, ontologies, and FAIR data principles for structuring scientific contentWorking knowledge of AI capabilities related to content analysis, such as large language models (LLMs), semantic technologies, and NLP toolsExperience in extracting insights from large datasets, generating summaries, trends, and visualizationsStrong understanding of data governance, copyright, licensing, and responsible AI useExcellent collaboration, communication, and stakeholder engagement skills, with a track record of supporting cross-functional teamsNice to Have Skills:Practical experience in evaluating, piloting, or advising on AI-driven content toolsKnowledge of data visualization, knowledge graphs, and ontology managementFamiliarity with Python, AI frameworks, and prompt engineering techniques for NLP applicationsExperience with scientific communication tools and knowledge mappingPreferred Education and Experience:Bachelor’s or Master’s degree in Information Science, Library Science, Data Science, Bioinformatics, or a related disciplineSeveral years of experience working with scientific content analysis, knowledge management, or related fields within the pharmaceutical or biomedical sectorThis is more than just a role; it’s your chance to be at the forefront of scientific content innovation. If you’re ready to contribute your expertise, collaborate with multidisciplinary teams, and help shape the future of biomedical discovery, we encourage you to apply now and take the next step in your career.