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 in pRED, specializing in pharmacometrics, machine learning, mechanistic disease modeling, and statistical data science. PM integrates advanced quantitative methods with diverse pre-clinical, clinical and real-world datasets to support decision-making across all therapeutic areas. The team develops actionable models through clinical trial simulations, meta-analyses, and predictive modeling, and empowers the broader organization with modeling & simulation expertise.

The Opportunity

You will contribute to a strategic project in Ophthalmology aimed at improving clinical trial design in Retinal Vascular Disease (RVD) in light of evolving FDA guidance. Your work will directly inform regulatory discussions and future development strategy.

During this internship, you will:

• Aggregate, curate, and analyze data from Roche clinical trials and external studies as part of a meta-analysis/regression on clinical endpoints in Retinal Vascular Disease (RVD).

• Develop simulation studies to compare the power and sample-size implications of dichotomous versus continuous endpoints in the context of RVD. This will contribute to an evidence base that supports the optimal endpoint selection for regulatory interactions.

• Use historical sham control, active treatment, and real-world datasets to characterize disease progression and identify baseline predictors of visual outcomes.

• Support the development of a model to simulate sham-arm behavior, which will enable more efficient clinical trial designs.

• Perform scenario simulations to explore the impact of various assumptions on sample size and the overall operating characteristics of the trial.

• Contribute to scientific communication and internal decision-making by helping to prepare white papers summarizing results and implications for Ophthalmology development programs, as well as contributing to manuscripts intended for peer-reviewed publication.

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

• You have strong programming skills in R, Python, and/or equivalent languages.

• Experience with meta-analysis/regression, (non-linear) longitudinal mixed-effects models, Bayesian methods, or clinical trial simulation is highly desirable.

• Familiarity with ophthalmology, clinical endpoints, or imaging-based measures is a plus, but not required.

• You possess excellent command of the English language, both written and spoken.

• You are a team player with strong communication skills, a structured 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:

• A current CV and Motivation Letter

• A certificate of enrollment (if you are currently studying). If you wish to use this internship for a Master’s or Diploma thesis, please clearly indicate this in your application.

• Due to regulations, non-EU/non-EFTA citizens without either a B permit with work permit or a C permit need to provide a certificate of enrollment, as well as a certificate from the university stating that an internship is mandatory and stating the length.

We look 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.