At a Glance
- Tasks: Transform scientific questions into effective content strategies and drive innovation in biomedical literature.
- Company: Forward-thinking organisation at the forefront of scientific content innovation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Exciting opportunity to work with AI technologies and multidisciplinary teams.
- Why this job: Shape the future of scientific knowledge management and make a real impact.
- Qualifications: Experience in information science, content analysis, and strong collaboration skills.
The predicted salary is between 45000 - 55000 € per year.
Join Our Team as an Information Scientist – Content Analytics 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.
Information Scientist – Content Analytics employer: Planet Pharma
Join a pioneering organisation that values innovation and collaboration, where as an Information Scientist – Content Analytics, you will be empowered to drive scientific discovery through cutting-edge AI technologies. Our inclusive work culture fosters continuous learning and professional growth, offering unique opportunities to engage with multidisciplinary teams in a vibrant location that champions forward-thinking approaches to knowledge management. Experience a rewarding career that not only enhances your skills but also contributes to meaningful advancements in the biomedical field.
StudySmarter Expert Advice🤫
We think this is how you could land Information Scientist – Content Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of information science and content analytics. Attend industry events, webinars, or even local meetups to connect with potential employers and learn about job openings that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your expertise in literature searching, content analysis, and data visualisation. This can be a game-changer during interviews, as it gives you a chance to demonstrate your capabilities beyond just your CV.
✨Tip Number 3
Prepare for those interviews! Research the company and its projects related to scientific content innovation. Be ready to discuss how your background in AI technologies and data governance can contribute to their goals. We want to see your passion shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us. So, go ahead and hit that apply button!
We think you need these skills to ace Information Scientist – Content Analytics
Some tips for your application 🫡
Show Your Passion:Let us see your enthusiasm for information science and AI technologies! In your application, share why you're excited about the role and how you can contribute to scientific content discovery.
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience in literature searching and content analysis. We want to see how your skills align with our needs!
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your expertise and how it relates to the job. We appreciate a well-structured application that gets to the point!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Planet Pharma
✨Know Your Stuff
Make sure you brush up on your information science fundamentals, especially around literature searching and content analysis. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your practical understanding of the role.
✨Speak Their Language
Familiarise yourself with key terms like metadata, ontologies, and FAIR data principles. When discussing your experience, use these terms confidently to demonstrate that you understand the nuances of scientific content management and can communicate effectively with cross-functional teams.
✨Showcase Your Analytical Skills
Prepare examples of how you've extracted insights from large datasets. Whether it's generating summaries or visualising trends, be ready to explain your thought process and the tools you used. This will highlight your ability to turn complex data into actionable insights.
✨Engage and Collaborate
Highlight your collaboration and communication skills during the interview. Share experiences where you've successfully worked with diverse teams, as this role requires strong stakeholder engagement. Show that you're not just a lone wolf but someone who thrives in a team environment.
