Information Scientist - Content Analytics

Planet Pharma
Yattendon, United Kingdom
21 days ago

Role details

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

Job location

Yattendon, United Kingdom

Tech stack

Artificial Intelligence
Data analysis
Big Data
Bioinformatics
Content Analysis
Data Governance
Data Visualization
Graph Database
Information Sciences
Python
Knowledge Management
Metadata
Software Tools
Large Language Models
Prompt Engineering

Job description

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.

Requirements

  • 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

About the company

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., Planet Pharma was founded by a dedicated team of professionals with extensive experience supporting the pharmaceutical, biotechnology, and device industries. Our goal is to create an organization that strengthens the employer-employee dynamic by connecting clients with talent. This results in making staffing more personal and creating enduring, valuable relationships. We value communication with our clients and make it our priority to have the hiring process be as fast and successful as possible. We leverage cutting-edge technology and flexible service delivery models that provide efficient, personalized solutions for your business. Our global headquarters is in Northbrook, IL and branch offices are based across the United States and Europe.

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