Internship - Agentic AI for Computational Biology (all genders)

Work Your Magic with us!  

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.  

United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.

Your Role

Are you passionate about artificial intelligence and eager to make a real impact in cancer research? As an Intern in Computational Oncology, you will collaborate with a dynamic team to explore and implement cutting-edge agentic AI approaches that accelerate our biological research workflows. You will work alongside our team to advance our understanding of cancer biology and contribute to the discovery of new therapeutic strategies. The purpose of this role is to solve the challenge of applying agentic AI technologies, including automated knowledge collection, retrieval-augmented generation (RAG), vector databases and agentic workflows, to support target prioritisation and early research programs.

The position is based in Darmstadt, Germany, and we offer a hybrid work model.

Who You Are

• You are currently pursuing a master's degree in computational biology, computer science, bioinformatics, data science, or a related field with a strong interest in life sciences.
• You have a solid understanding of AI and machine learning concepts, with hands-on experience with large language models (LLMs) and a good understanding of agentic AI frameworks.
• You are comfortable working with modern software development concepts, including APIs, data integration, and connecting heterogeneous tools and data sources into coherent workflows.
• You are proficient in Python; knowledge of R is a welcome addition.
• You are familiar with concepts such as retrieval-augmented generation (RAG), MCP, vector databases, and tool-use in agentic systems, or you are highly motivated to learn these rapidly.
• You have a basic understanding of biology or molecular life sciences, sufficient to contextualise your work within an oncology research environment.
• You are an enthusiastic, creative, goal-oriented, proactive and out-of-the-box thinker with a strong ability to work both independently and collaboratively, this matters especially as our team is on a learning journey alongside you.
• You have excellent English communication skills, both written and spoken.
• You are eager to share your knowledge and enable others to build on what you create.

Duration, Location & Additional Information

Duration:

6 months, starting as soon as possible

Location: Darmstadt, Germany

Additional Information: A valid work permit is required for the internship.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!