Eurofins, IT Internship

Depending on business needs and your interests, you may contribute to one of the following IT solutions:  

The Laboratory Information Management System (LIMS) aims to standardise full laboratory processes, from sample registration and laboratory production to quality control, results reporting and invoicing. It provides a scalable global platform that improves efficiency while allowing laboratories to adapt the solution to local requirements.

The B2B Integration Programme focuses on automating the exchange of information between clients' IT systems and the Eurofins laboratory network systems. Through digital connectivity solutions and client-facing platforms, the programme enables the seamless transmission of testing requests, sample information and analytical results, improving efficiency and data quality for both clients and laboratories.

The Outside Service Management (OSM) Programme supports the digitalisation of field services and sample management activities. It ensures that client requests are integrated into the Eurofins network IT systems, facilitates the management of sampling operations, and enables the digital transmission of field data and sample information to laboratories for analysis.

Potential projects may involve assessing new solutions, analysing current functionalities and migration options, and working with other IT stakeholders to develop prototypes or proofs of concept. Other opportunities could include automating reporting processes, developing an AI-powered copilot for issue investigation, etc.

We are looking for interns to join our IT teams based in cities across Europe, including Brussels, Nantes, Barcelona, Hamburg.

• Education: Currently pursuing a master’s degree in computer science, information technology, data science, software engineering, business analysis or a related field.
• To apply, you must provide an internship agreement from your university.
• Languages: Professional proficiency in English is required. Any additional languages are a plus.
• Technical Knowledge: Exposure to data analytics, automation, AI technologies and system integrations, using tools such as Python, SQL, Power BI, Power Automate or the Microsoft Power Platform, is a plus.