Posted 5 June, 2026

Job Id: 627812

Information Scientist – Content Analytics


Location: Berkshire, Greater London
Category: Technology
Salary: Apply for details
Country: United Kingdom
Employment: Contract
Worksite: On-Site
Apply For This Position

Job Description

Join Our Team as an Information Scientist – Content Analytics and Drive Innovation in Scientific Content Discovery

Are 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 synthesis
  • Proven ability to translate scientific and business questions into effective search and analysis techniques
  • Familiarity with metadata, ontologies, and FAIR data principles for structuring scientific content
  • Working knowledge of AI capabilities related to content analysis, such as large language models (LLMs), semantic technologies, and NLP tools
  • Experience in extracting insights from large datasets, generating summaries, trends, and visualizations
  • Strong understanding of data governance, copyright, licensing, and responsible AI use
  • Excellent collaboration, communication, and stakeholder engagement skills, with a track record of supporting cross-functional teams

Nice to Have Skills:

  • Practical experience in evaluating, piloting, or advising on AI-driven content tools
  • Knowledge of data visualization, knowledge graphs, and ontology management
  • Familiarity with Python, AI frameworks, and prompt engineering techniques for NLP applications
  • Experience with scientific communication tools and knowledge mapping

Preferred Education and Experience:

  • Bachelor’s or Master’s degree in Information Science, Library Science, Data Science, Bioinformatics, or a related discipline
  • Several years of experience working with scientific content analysis, knowledge management, or related fields within the pharmaceutical or biomedical sector

This 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.

Equal Opportunity Employer

We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.

Fraud Alert

Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.

Job Alerts

Stay up to date with the

latest opportunities

Sign Up for Job Alerts Today →

Related Jobs

APPLY NOW