Jobs / data
Internship Data Science & Business Intelligence
Nikon · Amstelveen
About the 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.