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

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 within the Predictive Modeling (PM) chapter of Pharmaceutical Sciences, specializing in pharmacometrics, mechanistic disease modeling, and translational sciences. PM integrates advanced methods like modeling, machine learning, and statistics with diverse data sources to inform clinical decisions across all disease therapeutic areas. The team develops actionable models through clinical trial simulations, exploring various what-if scenarios. PM also fosters modeling expertise at Roche through training, support, and advocacy for modeling & simulation.

The opportunity:

• Contribute to the development of a modern Model-Based Meta-Analysis (MBMA) pipeline, utilizing literature-derived data extracted with large language model tools.

• Gain hands-on experience in applying non-linear mixed-effects modeling approaches within the MBMA framework.

• Use the MBMA pipeline to assess the efficacy of a new molecule compared to the existing standard of care, supporting data-driven clinical decision-making.

• Extend and automate the MBMA pipeline for broader application across multiple clinical projects.

Who you are:

• 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 pharmacometrics, applied mathematics, statistics and have some experience or familiarity with biological/medicine applications

• You have strong programming skills in R

• Familiarity with non-linear mixed-effects modeling and/or Bayesian hierarchical approaches, using tools such as NONMEM, Monolix, nlmixr, Stan, brms, or JAGS, is highly desirable.

• 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.

Additional Information:

• Location: Basel, Switzerland

• Target Start Date: Q1 2026

• Hours: Full-time (40 hours per week)

• Duration: 6 months

Application process:

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!

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.