Bei Roche kannst du ganz du selbst sein und wirst für deine einzigartigen Qualitäten geschätzt. Unsere Kultur fördert persönlichen Ausdruck, offenen Dialog und echte Verbindungen. Hier wirst du für das, was du bist, wertgeschätzt, akzeptiert und respektiert. Dies schafft ein Umfeld, in dem du sowohl persönlich als auch beruflich wachsen kannst. Gemeinsam wollen wir Krankheiten vorbeugen, stoppen und heilen und sicherstellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und in Zukunft. Werde Teil von Roche, wo jede Stimme zählt.

Die Position

At Roche, we are dedicated to advancing healthcare solutions through innovation and cutting-edge technology. We strive to transform patients' lives and believe that good business contributes to a better world. Our commitment to scientific rigor, ethical standards, and global access to medical innovations drives our daily work towards building a better tomorrow.

Within Roche Pharma Research & Early Development (pRED), the Translational Drug Metabolism, Pharmacokinetics, and Pharmacodynamics (tDMPK/PD) department plays an important role in understanding how potential drug candidates behave in the body. Our work combines experimental research, computational modeling, and advanced analytical technologies to investigate drug properties and support decisions throughout drug discovery and development. We are expanding our capabilities in laboratory automation and digitalization, exploring how new technologies, including artificial intelligence, can improve laboratory workflows and make our research more efficient.

The Opportunity

You will explore how large language models (LLMs) can be used to automate laboratory workflows in pharmaceutical research. The project focuses on connecting LLMs with laboratory equipment and software, allowing users to interact with laboratory systems through natural language and automate selected tasks.

Your work will involve evaluating existing tools and frameworks for LLM-based automation, developing a proof of concept using a laboratory liquid handling system, and assessing the potential and limitations of this approach in a real laboratory environment.

Specifically, you will:

• Research and compare existing tools and frameworks for connecting LLMs with external software and laboratory equipment.
• Develop a proof of concept that connects an LLM to a laboratory liquid handling system through suitable software interfaces.
• Explore how natural language instructions can be translated into executable laboratory workflows.
• Design and perform tests to evaluate the reliability, accuracy, and limitations of the developed approach.
• Collaborate with laboratory scientists and automation experts to understand existing workflows and identify suitable applications.
• Document your implementation, summarize your findings, and provide recommendations for further development.

Who You Are

• You hold a Master's degree in Computer Science, Data Science, Engineering, Bioinformatics, or a related field; or are currently enrolled in a relevant Master's or PhD program.
• You have strong programming skills in Python and experience with software development.
• You have experience with or a strong interest in large language models (LLMs), AI agents, and their integration with external tools.
• You are familiar with APIs, software integration, and version control systems such as Git.
• You have an interest in laboratory automation and robotics. Previous experience with laboratory instruments or automation software is an advantage.
• You enjoy exploring new technologies and solving open-ended technical problems.
• You are comfortable working independently and collaborating with colleagues from different scientific backgrounds.
• You have a good command of spoken and written English.

Additional Information

• The internship (100%) will be located at the Roche Pharma Research Center in Basel.
• Please upload your CV and your degree / enrollment certificate online. Include a section in your CV highlighting your relevant skills (2-3 sentences) and provide examples (bullet points) to support them.
• Please note that PhD students need to remain enrolled for the entire duration of the internship.
• Start: Upon your availability for a period of 6 months with the possibility to extend. We are flexible and encourage you to indicate your ideal starting date in your application.
• Please note that due to cantonal regulation reasons, NON-EU/-EFTA nationals need to provide a confirmation by their university stating that an internship is mandatory for their studies.

Ready to take the next step? We'd love to hear from you. Apply now to explore this exciting opportunity!

Wer wir sind

Eine gesündere Zukunft treibt uns zur Innovation an. Mehr als 100.000 Mitarbeiter weltweit arbeiten gemeinsam daran, wissenschaftliche Fortschritte zu erzielen und sicherzustellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und für zukünftige Generationen. Durch unser Engagement werden über 26 Millionen Menschen mit unseren Medikamenten behandelt und mehr als 30 Milliarden Tests mit unseren Diagnostik-Produkten durchgeführt. Wir ermutigen uns gegenseitig, neue Möglichkeiten zu erkunden, Kreativität zu fördern und hohe Ziele zu setzen, um lebensverändernde Gesundheitslösungen zu liefern.

Gemeinsam können wir eine gesündere Zukunft gestalten.

Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.