Bioinformatics Internship at Elsevier, UK | AI Research Opportunity
How can AI provide more reliable answers to scientific questions? This Elsevier bioinformatics internship opportunity explores that challenge through large language models, knowledge graphs and scientific search. Students with strong Python skills can contribute to a hands-on research project involving chemistry, life sciences or biomedical information.
- Position: Intern Data Science – AI Research Intern
- Location: London, England, United Kingdom
- Team: Data Science
- Research focus: Large language models for scientific information
- Working pattern: Flexible working hours
About The Company
Elsevier is an information and analytics business supporting researchers and healthcare professionals. It combines scientific content, datasets and technology to help advance research, health education and clinical practice.
Elsevier Elsevier Bioinformatics Internship: Role Overview
The intern will investigate how AI methods can improve the accuracy, retrieval and use of scientific information. A project will be selected according to the candidate’s interests and background, with opportunities spanning language model development, scientific entity recognition and search.
This is a computational research role suited to students interested in applying machine learning to scientific content.
Potential Research Areas
- Knowledge-grounded LLMs: Combine language models with ontologies, knowledge bases and knowledge graphs to improve reliability.
- Scientific information extraction: Identify and link entities such as chemicals, drugs and diseases in text and search queries.
- Search and retrieval: Translate natural-language questions into precise queries and improve ranking methods.
- Model adaptation: Fine-tune or continue pre-training small and medium language models for scientific applications.
- LLM evaluation and engineering: Explore prompt design, structured data handling and quality checks for AI predictions.
Key Responsibilities
- Review current research and define a focused research question.
- Design and prototype methods using LLMs and related techniques.
- Conduct experiments using real or publicly available datasets.
- Benchmark methods against strong baselines.
- Present findings through a written report or thesis and a final presentation.
Education and Technical Requirements For Bioinformatics Internship
Applicants for the Elsevier bioinformatics internship should be students in Bioinformatics, Artificial Intelligence, Data Science, or a related field.
Required capabilities include:
- Strong Python programming skills.
- Experience with machine learning or NLP frameworks, such as PyTorch or Hugging Face.
- Familiarity with LLMs, natural language processing or information retrieval.
- Interest in chemistry, biomedicine or life sciences.
- Curiosity, independence and clear communication.
Working Arrangements and Benefits
Elsevier offers flexible working hours, allowing employees to adjust when they work during the day. The posting also describes wellbeing initiatives and country-specific benefits; applicants should confirm which provisions apply to this internship.
Salary, internship duration and start date are not specified in the supplied posting.
Bioinformatics Internship – Application Details
- Location: London, United Kingdom.
- Eligibility: Students in the listed computational disciplines or related fields
For students interested in the intersection of biology and AI, this Elsevier bioinformatics internship offers the opportunity to investigate how scientific knowledge can make language models more useful and dependable. Apply your programming and research skills to tools that help researchers find and interpret information.
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