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

This internship is hosted within the Computational Sciences Center of Excellence (CS CoE), a global organization that enables our research units to develop novel therapeutics. You will be part of the Real World Data Insights team located in Basel, Switzerland. As part of the wider CS CoE, we provide expertise in the design, conduct, and analysis of RWD studies to help the development of Roche’s medicines. 

In this role, you will drive a high-priority project for the Immunology Disease Therapeutic Area, working in close collaboration with the Immunology & CVRM group to identify and validate novel therapeutic targets and deepen disease understanding. 

The Opportunity

This project aims to identify potential targets and improve disease understanding by analyzing real-world insurance claims data and electronic health records.  You will contribute to our understanding of inflammatory disorders while being fully immersed in the environment of a global pharmaceutical company. As a member of a highly collaborative, multidisciplinary team, you will use your skills to generate significant contributions with practical impact for patients, and you will gain valuable expertise to advance your scientific career.

In this role you will:

• Explore treatment patterns and outcomes in defined patient groups to improve disease understanding and identify potential therapeutic targets.

• Conduct Specialized Statistical Analysis: Execute advanced causal inference techniques (e.g., propensity score matching, survival analysis)

• Collaborate across Functions: Work across teams to translate statistical findings into biological insights.

• Communicate findings: Document and share your findings internally and potentially externally in research reports and potentially publications.

Who You Are

• Enrolled in (or graduated in the last 12 months from) a Master’s program in Data Science, Statistics, Computational Biology, Epidemiology, or a related field.

• Strong proficiency in R and experience with version control (git).

• Solid foundation in advanced statistics (e.g., survival analysis, causal inference, or longitudinal modeling).

• Experience working with large, high-dimensional datasets.

• Fluent in English (written and verbal).

• Prior experience working with Real World Data (RWD) or insurance claims datasets.

• Knowledge of Epidemiology.

• Research-driven mindset with prior project experience or publications.

Additional Information

• The start date of this internship is earliest in June 2026, for a duration of 6 months. 

• Please clearly indicate your preferred starting date and availability in your motivation letter. 

• The role requires a commitment to full-time employment.

• Non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents.

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

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.

Roche is an Equal Opportunity Employer.

Summary

• Location: Basel
• Type: Full time