





Our Global Internship Programme in Innovation & Sustainability (#IP2TIS) offers a unique opportunity for passionate individuals to gain hands-on experience in the pharmaceutical industry while making a positive impact on the world. Are you ready to join a global network spanning 20+ countries, where bright minds collaborate to tackle real-world challenges in Innovation & Sustainability? Do you want to work on impactful projects, shape the future, and drive change from within? As an intern, you will contribute to a project focused on building an automated biomedical knowledge graph to accelerate research and development discovery. The project aims to improve scientific knowledge access by using efficient small language models to extract structured relationships from biomedical literature, reducing reliance on more energy-intensive approaches while improving interpretability and completeness. Within your first 3 months, you are expected to help implement a fine-tuning pipeline for a small language model, develop an entity resolution workflow, build a large-scale knowledge graph from a disease-relevant abstract corpus, and contribute to a performance report and integration demo. Your work will support faster evidence synthesis, more systematic discovery of research insights, and more sustainable AI usage in R&D. This internship offers the opportunity to work at the intersection of NLP, biomedical data, and drug discovery with direct impact on future innovation.