AI Research Intern – Large Language Models for Scientific Information
About The Role
Join our Data Science team to work on a hands‑on research project at the intersection of large language models (LLMs), knowledge graphs, and scientific information retrieval. You’ll apply AI to real problems across chemistry, life sciences, and biomedical content, and help improve the products researchers use every day.
What You’ll Work On
Depending on your interests and background, you’ll pick a project in one of these areas:
- Grounding LLMs in domain knowledge: combining LLMs with ontologies, knowledge bases, and knowledge graphs to make outputs more accurate and reliable.
- Information extraction and entity recognition: identifying, resolving, and linking scientific entities (such as chemicals, drugs, and diseases) in text and queries.
- Search and retrieval: improving how natural‑language questions become precise search queries, and how ranking signals are combined.
- Model adaptation: fine‑tuning or continued pre‑training of small and medium language models for scientific use cases.
- LLM engineering and evaluation: prompt design, handling large structured data such as tables, and quality‑control layers for AI predictions.
What You’ll Do
- Review current research and define a focused research question
- Design, build, and prototype methods using LLMs and related techniques
- Run experiments and benchmark against strong baselines on real or public datasets
- Share your findings in a written report or thesis and a final presentation
What We’re Looking For
- Student in Computer Science, AI, Data Science, Computational Linguistics, Bioinformatics, Cheminformatics, or a related field
- Strong Python skills and experience with ML/NLP frameworks (e.g., PyTorch, Hugging Face)
- Familiarity with LLMs, NLP, or information retrieval
- Interest in chemistry, biomedicine, or life sciences
- Curiosity, independence, and clear communication
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.
Working Pattern
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive
About The Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.
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Intern Data Science employer: Elsevier
At Elsevier, we pride ourselves on being an excellent employer, particularly for our Java Software Engineer role in Oxford. Our vibrant work culture fosters collaboration and innovation, while our commitment to employee growth is evident through continuous learning opportunities and flexible working arrangements that promote a healthy work-life balance. Join us to be part of a team that values your contributions and supports your professional journey in the exciting field of scientific knowledge sharing.
