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- Tasks: Unlock insights from biomedical literature using AI and data analytics.
- Company: Join Planet Pharma, a leader in global staffing and scientific innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in biomedical research while working with cutting-edge technologies.
- Qualifications: Experience or interest in NLP, Python, and strong collaboration skills.
- Other info: Dynamic team environment with a focus on ethical AI practices.
The predicted salary is between 28800 - 48000 £ per year.
Location: Hybrid near Reading
Are you ready to help shape the future of biomedical information? Join a dynamic, innovative team at the forefront of scientific discovery. As an Information Scientist specializing in Content Analytics, you’ll combine information science expertise with advanced AI and data analytics to unlock insights from global biomedical literature. In this role, you’ll design smarter, AI-enabled workflows, champion ethical and responsible AI practices, and collaborate across pharmaceutical R&D teams. If you thrive in a fast-evolving environment, enjoy exploring emerging technologies, and are passionate about enabling others through training and knowledge sharing, this is an opportunity to make a real impact.
Key Responsibilities
- Content Analytics & Knowledge Management
- Design and implement AI-enabled workflows for literature mining, summarization, and trend analysis using NLP tools.
- Develop and maintain external information endpoints, ensuring adherence to FAIR principles (Findable, Accessible, Interoperable, Reusable).
- Enable interoperability across systems and platforms to support scientific research.
- AI & Advanced Analytics
- Apply machine learning and Large Language Models (LLMs) to improve information retrieval and automate content classification.
- Research, evaluate, and propose innovative AI solutions for scientific content analysis.
- Information Science
- Support pharmaceutical R&D processes with high-quality, well-structured scientific information.
- Apply expertise in data lifecycle management, metadata standards, ontologies, and knowledge systems.
- Leverage semantic technologies to ensure data is structured and reusable for scientific use.
- Governance & Compliance
- Ensure compliance with copyright, licensing, and data governance requirements.
- Implement data integrity measures and maintain audit trails for AI-enabled workflows.
- Training & Enablement
- Deliver training on AI/NLP tools and best practices for content analytics.
- Develop guidelines and competency frameworks to upskill teams in digital and data science capabilities.
Core Skills & Competencies
- Technical Skills
- Experience or strong interest in NLP and LLM applications (e.g., transformers, Retrieval-Augmented Generation, prompt engineering).
- Python and AI frameworks for text analytics.
- Knowledge of knowledge graphs and ontology management.
- Familiarity with data visualization and scientific communication tools.
- Soft Skills
- Strong cross-functional collaboration and stakeholder engagement skills.
- Project management and clear scientific communication.
- Adaptability and curiosity for emerging technologies.
Ready to join a high-impact team driving digital transformation?
Information Scientist in Reading employer: Planet Pharma
Contact Detail:
Planet Pharma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Information Scientist in Reading
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or a project that highlights your expertise in AI and data analytics. We love seeing practical examples of what you can do, so don’t hold back!
✨Tip Number 3
Prepare for interviews by practising common questions and showcasing your knowledge of NLP and LLM applications. We want to see your passion and how you can contribute to our innovative team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for talented individuals who are ready to make an impact in biomedical information.
We think you need these skills to ace Information Scientist in Reading
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Information Scientist role. Highlight your experience with AI, NLP, and data analytics, as these are key to what we’re looking for. Show us how your skills align with our mission to shape the future of biomedical information!
Showcase Your Passion: We love candidates who are genuinely excited about the field! Share your enthusiasm for emerging technologies and how you’ve applied them in past projects. Let us see your curiosity and adaptability shine through in your application.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
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 the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Planet Pharma
✨Know Your AI and NLP Stuff
Make sure you brush up on your knowledge of AI, NLP, and LLM applications. Be ready to discuss how you've used these technologies in past projects or how you plan to apply them in this role. Showing a genuine interest and understanding of these tools will definitely impress the interviewers.
✨Showcase Your Collaboration Skills
Since this role involves working across various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight your cross-functional teamwork experiences and how you’ve engaged stakeholders to achieve common goals. This will demonstrate that you can thrive in a dynamic environment.
✨Prepare for Ethical Discussions
Given the emphasis on ethical AI practices, think about how you would approach ethical dilemmas in data usage and AI implementation. Be ready to discuss your views on responsible AI and how you would ensure compliance with governance and copyright requirements in your work.
✨Bring Training Ideas to the Table
Since training and enablement are key responsibilities, come prepared with ideas on how you would deliver training on AI/NLP tools. Think about what guidelines or frameworks you could develop to help upskill teams. This shows initiative and a commitment to fostering a learning culture.
