Internship in AI for Laboratory Automation (Pharma Research & Early Development)

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.

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.

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

• 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.