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.
In Roche’s Pharmaceutical Research and Early Development organisation (pRED), we make transformative medicines for patients in order to tackle some of the world’s toughest unmet healthcare needs. At pRED, we are united by our mission to transform science into medicines. Together, we create a culture defined by curiosity, responsibility and humility, where our talented people are empowered and inspired to bring forward extraordinary life-changing innovation at speed.
This position is part of the Predictive Modeling chapter within Pharmaceutical Sciences, with a focus on Disease Modeling (DM). DM specializes in mechanistic modeling, statistical disease progression modeling, advanced analytics, and the integration of diverse data sources, including omics and real-world data, to develop actionable insights and predictive models. These models inform clinical decisions across therapeutic areas through simulations of various scenarios. DM also fosters modeling expertise at Roche through training, support, and advocacy for modeling & simulation.
Develop skills in Quantitative Systems Pharmacology (QSP) modeling by contributing to an early-stage Alzheimer’s project.
Explore and internalize an existing open-source QSP model implemented in Python using the JAX framework.
Calibrate the QSP model using internal and external data.
Translate scientific questions into model-based simulations to provide insights into the potential efficacy of a new molecule.
You are a Master's or PhD student or have completed a Master's degree within the past 12 months prior to the start date, specializing in computational biology, applied mathematics, statistics, or physics, and have some experience or familiarity with biological/physiological/medicine applications
You have strong programming skills in Python, R, MATLAB or Julia, and are eager to learn and apply new computational tools.
Experience with implementing, analyzing, and calibrating ODE-based dynamical models is highly desirable.
Familiarity with code documentation tools, such as GitLab and GitHub, is a plus.
You possess excellent command of the English language, both written and spoken.
You are a team player with strong communication skills, a focused work style, and a results-driven mindset.
Location: Basel, Switzerland
Target Start Date: Q1 2026
Hours: Full-time (40 hours per week)
Duration: 6 months
Your complete application includes the following documents:
A Current CV and a Motivation Letter
A certificate of enrollment (if you are currently studying). If you want to use this opportunity to do a Master’s or Diploma thesis, please highlight this in your application
For Non-EU/EFTA citizens: Due to regulations, you must provide a certificate issued by your university stating that an internship is mandatory for your studies
We are looking forward to your application!
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.