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Pharmaceutical information scientist

Slough
Hays
Information scientist
Posted: 2 February
Offer description

Your newpany
You’ll be joining a global research‑driven biopharmaceutical organisation recognised for itsmitment to scientific innovation, digital transformation, and responsible use of emerging technologies. The team you’ll 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.

Your new role
This is initially a 12-month contract, that may extend, working directly with a senior team.
You'll be supporting thepany's R&D efforts and liaising with stakeholders across the business.

1. Build and optimise workflows for literature mining, summarisation and trend analysis using AI, NLP and advanced analytics tools.
2. Develop and maintain external information endpoints aligned with FAIR data principles to support scientific interoperability.
3. Apply machine learning and large language models to improve information retrieval, automate content classification and enhance knowledge discovery.
4. Contribute to the design and evaluation of innovative AI‑driven solutions for scientific content analysis.
5. Support R&D teams by applying expertise in metadata, ontologies, data lifecycle management and scientific knowledge systems.
6. Act as a subject matter expert for AI‑enabled content analytics, partnering with cross‑functional stakeholders across the organisation.
7. Ensurepliance with copyright, licensing and dataernance standards, maintaining robust data integrity and audit trails.
8. 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.

What you'll need to succeed
9. 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
10. Familiarity with Python and modern AI frameworks for text analytics, alongside data visualisation and scientificmunication tools.
11. Understanding of knowledge graphs, ontology management and FAIR data principles.
12. Ability to collaborate effectively across multidisciplinary teams, with strongmunication and stakeholder‑engagement skills.
13. Proven project management capability and adaptability in fast‑evolving technological environments.
14. A passion for exploring new digital tools, driving innovation and enabling others through training and knowledge sharing.


What you'll get in return
The chance to make a strong impact on thispany's expanding drug discovery pipeline, working with an experienced team in a highly collaborative atmosphere.
There is also flexible working ( days/week from home though this depends on the level of experience for the successful candidate).

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