Internship Data Science & Business Intelligence

About this role

Internship Opportunity Data Science & Business Intelligence Internship Nikon BioImaging Lab (Leiden) Location: Leiden, The Netherlands Duration: 6 months Start date: Flexible (preferably Oct 2026) Level: MSc student (internship as part of degree) About Nikon BioImaging Lab Nikon BioImaging Lab (NBIL) in Leiden is a contract research organization (CRO) specializing in advanced microscopy, 3D cell models, and image‑based assay development.

We collaborate with academic groups, biotech startups, and pharmaceutical companies to support innovation in drug discovery and life‑science research. To strengthen our outreach and strategic focus, we are investing in data‑driven business development tools that help our team better understand the market, identify relevant partners, and monitor emerging trends in the life sciences. Internship Assignment We are seeking a motivated Data Science and Business ‑ oriented MSc student to continue the development of an existing business development intelligence tool.

A previous intern has already built a strong foundation. During this internship, you will expand and improve the tool’s capabilities, transforming it into a more powerful and scalable system that supports our business developers in their day‑to‑day work. The tool is designed to: Map relevant biotech, pharma, and research organizations by geography and technology focus Link news items, press releases, and publications to companies Detect relevance and potential business opportunities for business development Monitor industry trends, emerging technologies, and relevant conferences This internship combines technical development with real ‑ world application , bridging data science and strategic decision‑making in the biotech and pharma ecosystem.

Key Activities Depending on your background and interests, your work may include: Expanding and structuring databases of companies, technologies, and market segments Integrating multiple data sources (e.g. company websites, news feeds, conference listings) Applying natural language processing (NLP) to match news and content to companies Developing relevance scoring or classification methods for business development use cases Identifying trends and signals in fast‑moving life‑science domains Improving usability and interpretability of outputs for non‑technical users Presenting insights and recommendations to the NBIL team You will work closely with both business development and scientific colleagues, ensuring that your technical work creates immediate business value.