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 Roches Pharmaceutical Research and Early Development organisation (pRED) we make transformative medicines for patients in order to tackle some of the worlds 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 all therapeutic areas through clinical trial simulations exploring various scenarios. DM also fosters modeling expertise within Roche by providing training support and promoting modeling & simulation methods.

The opportunity:

• Develop a statistical model to analyze neurofilament light chain (NfL) as a biomarker for neuro-axonal damage across neurological disorders like Alzheimers Huntingtons and multiple sclerosis.

• Harmonize NfL measurements across various assays and biological matrices including plasma and CSF.

• Identify demographic and physiological factors affecting NfL variability and explore correlations with brain structural or physiological changes from imaging data.

• Utilize internal and external datasets to enhance interpretation of NfL levels for monitoring disease progression and evaluating treatment effectiveness.

Who you are:

• You are a Masters or PhD student or have completed a Masters 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 R Python and/or Julia.

• Experience with analyzing biomarker or omics data combining different datasets or modelling biomarker dynamics 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 Masters 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 100000 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.

Lets build a healthier future together.