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- Tasks: Support R&D by optimising workflows and applying AI for scientific insights.
- Company: Join a global biopharmaceutical leader committed to innovation and digital transformation.
- Benefits: Flexible working, collaborative culture, and the chance to impact drug discovery.
- Why this job: Shape the future of data-driven science in a dynamic, innovative environment.
- Qualifications: Experience or interest in AI, NLP, and Python; strong communication skills required.
- Other info: 12-month contract with potential extension; no visa sponsorship available.
The predicted salary is between 36000 - 60000 £ per year.
You will be joining a global research-driven biopharmaceutical organisation recognised for its commitment to scientific innovation, digital transformation, and responsible use of emerging technologies. The team you will be part of sits at the intersection of information science, AI and biomedical research, working to unlock insights that accelerate discovery and improve decision-making across R&D. With a culture that values curiosity, collaboration and continuous learning, this is an ideal environment for someone eager to shape the future of data-driven science.
This is initially a 12-month contract, that may extend, working directly with a senior team. You will be supporting the company’s R&D efforts and liaising with stakeholders across the business.
- Build and optimise workflows for literature mining, summarisation and trend analysis using AI, NLP and advanced analytics tools.
- Develop and maintain external information endpoints aligned with FAIR data principles to support scientific interoperability.
- Apply machine learning and large language models to improve information retrieval, automate content classification and enhance knowledge discovery.
- Contribute to the design and evaluation of innovative AI-driven solutions for scientific content analysis.
- Support R&D teams by applying expertise in metadata, ontologies, data lifecycle management and scientific knowledge systems.
- Act as a subject matter expert for AI-enabled content analytics, partnering with cross-functional stakeholders across the organisation.
- Ensure compliance with copyright, licensing and data governance standards, maintaining robust data integrity and audit trails.
- Deliver training, guidance and best-practice frameworks to upskill colleagues in AI, NLP and digital content analytics.
Please note no visa sponsorship is available for this role - all applicants must hold the full right to work in the UK until at least February 2027.
Experience or strong interest in NLP, LLMs and AI applications such as transformers, RAG or prompt engineering, preferably gained within the pharmaceutical, biotech, medtech or biomedical space.
Familiarity with Python and modern AI frameworks for text analytics, alongside data visualisation and scientific communication tools.
Understanding of knowledge graphs, ontology management and FAIR data principles.
Ability to collaborate effectively across multidisciplinary teams, with strong communication and stakeholder-engagement skills.
Proven project management capability and adaptability in fast-evolving technological environments.
A passion for exploring new digital tools, driving innovation and enabling others through training and knowledge sharing.
The chance to make a strong impact on this company’s expanding drug discovery pipeline, working with an experienced team in a highly collaborative atmosphere. There is also flexible working (c.2 days/week from home though this depends on the level of experience for the successful candidate).
If you are interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.
Pharmaceutical Information Scientist in Slough employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Pharmaceutical Information Scientist in Slough
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharmaceutical field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to NLP, AI, or data analytics. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of FAIR data principles and machine learning applications. Be ready to discuss how you've used these in past projects or how you would apply them in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Pharmaceutical Information Scientist in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the role of a Pharmaceutical Information Scientist. Highlight your experience with NLP, AI applications, and any relevant projects you've worked on in the biopharmaceutical space.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how your background makes you a great fit. Be sure to mention your enthusiasm for scientific innovation and collaboration, as these are key values for us.
Showcase Your Technical Skills: Don’t forget to include your proficiency in Python and any modern AI frameworks you've used. We love seeing examples of how you've applied these skills in real-world scenarios, especially in text analytics or data visualisation.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the quickest way for us to see your application and get you into the process!
How to prepare for a job interview at Hays
✨Know Your AI and NLP Basics
Make sure you brush up on your knowledge of AI, NLP, and LLMs before the interview. Be ready to discuss how these technologies apply to the pharmaceutical industry, especially in areas like literature mining and content classification.
✨Showcase Your Collaboration Skills
Since this role involves working with multidisciplinary teams, prepare examples that highlight your ability to collaborate effectively. Think of specific projects where you engaged with stakeholders and how you contributed to a successful outcome.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with Python and any relevant AI frameworks. Be prepared to discuss your experience with data visualisation tools and how you've used them in past projects. This will show that you can hit the ground running.
✨Prepare Questions About Their R&D Culture
Research the company’s commitment to scientific innovation and digital transformation. Prepare thoughtful questions about their R&D culture and how they support continuous learning. This shows your genuine interest in being part of their team.
