Internship in Predictive Modelling (as of 1 December 2025 at the earliest for 6 months in Basel) Nouveau
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
Pharmaceutical Sciences (PS) is a global function within Roche Pharma Research and Early Development (pRED). As a team member in the Predictive Modelling (PM) chapter of PS, you will work in close collaboration with scientists in pRED, using state-of-the-art modelling and simulation tools.
Exposure/Response (or Safety) analyses are crucial for determining the relationship between the drug’s concentration in the body and its therapeutic and/or adverse effects. These analyses support the choice of a safe and effective dosing for patients. A first version of an internal R package that is designed to streamline and simplify such analyses was created. We are seeking a motivated intern to collaborate on this project.
The Opportunity
- Support the continued development of an internal R package dedicated to exposure response analyses
- Automate the validation and testing of this internal R package in Roche computing environment
- Attend department meetings to present your work as well as gaining an understanding on how modelling and simulations influence drug development
Who You are
- Currently pursuing a Master’s degree, recently completed it, or enrolled as a PhD student in a quantitative discipline (e.g., Data Science, Pharmacometrics, Statistics, or related fields).
- Seeking an opportunity to gain hands-on experience in Modelling and Simulation within a drug development environment.
- Basic knowledge of pharmacokinetics and pharmacodynamics.
- Basic understanding of statistics, including both theory and application.
- Skilled in coding with R, including data handling, writing functions, and preferably packages building.
- Strong interpersonal and communication skills, with the ability to build effective working relationships.
- A team-oriented person with an investigative attitude, capable of working independently and adopting new scientific methodologies.
- Experienced in designing, performing, and interpreting experiments.
- Fluent in both spoken and written English.
Should this have piqued your interest, apply with your current CV and a Motivation Letter (1 page), where you indicate your preferred start date of the internship.
Due to regulations, non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application documents, and must be continuously enrolled in their university program for the whole duration of this internship. The letter should also specify the required length of the internship.
Please note that this internship is not suitable for a master’s thesis.
If you are proud of contributing and feel you have the dedication to teamwork and innovation that we are seeking, then Roche is the organisation for you.
Every role at Roche plays a part in making a difference to patients’ lives. If you want to work in a passionate team, make your mark & improve lives, apply now!
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.