IP2TIS InternInternship IP2TIS 2025 - For students in the field of Computer Science, Data Science, AI or Mathematics

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Our  Global Internship Programme in Innovation & Sustainability (#IP2TIS)  offers a unique opportunity for passionate individuals to gain hands-on experience in the pharmaceutical industry while making a positive impact on the world.

Are you ready to join a global network spanning 20+ countries, where bright minds collaborate to tackle real-world challenges in Innovation & Sustainability? Do you want to work on impactful projects, shape the future , and drive change from within?

The Opportunity

We seek an intern to contribute to building a foundational machine-learning model trained to predict health outcomes from large-scale patient datasets. This project will enhance data-driven clinical trial design and improve patient outcomes. By leveraging longitudinal healthcare data, we aim to create AI models that serve as "digital twins" of real-world patients, supporting clinical development and decision-making for cardiovascular-metabolic-renal diseases.
This internship provides a unique opportunity to work on state-of-the-art artificial intelligence models while contributing to advancing AI in healthcare. Join us in shaping the future and driving change from within.

Who You Are

You are enrolled or have completed your Bachelor’s / Master’s / PhD (Master or PhD students preferred), preferably in the field of computer science, data science, mathematics, or artificial intelligence, within the last 12 months, and are interested in applying your knowledge in a modern working environment as part of an internship of at least 3 months and getting to know the pharmaceutical industry.

Furthermore you have

• Strong background in computer science and machine learning (required).

• Solid understanding of deep learning/artificial intelligence methods, especially transformers (required).

• Excellent programming skills in Python and familiarity with machine learning libraries such as PyTorch (required).

• Experience in working with biological or healthcare data (preferred).

• Effective communication and teamwork skills (required).

If you meet most but not all qualifications, we still encourage you to apply.

Technical details:

The start date for the internship is between 1st and 16th of July 2025

More information about the program you can find on go.roche.com/ip2tis_25.

Who we are

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.

Let’s build a healthier future, together.

Basel is the headquarters of the Roche Group and one of its most important centres of pharmaceutical research. Over 10,700 employees from over 100 countries come together at our Basel/Kaiseraugst site, which is one of Roche`s largest sites. Read more.

Besides extensive development and training opportunities, we offer flexible working options, 18 weeks of maternity leave and 10 weeks of gender independent partnership leave. Our employees also benefit from multiple services on site such as child-care facilities, medical services, restaurants and cafeterias, as well as various employee events.