Job Description

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

At Roche Pharma Research and Early Development (pRED), we transform cutting-edge science into life-changing therapies. By decoding transcriptional, mutational, and clinical profiles at scale, our computational genomics and multi-omics teams drive precision oncology through patient stratification and biomarker discovery.

We develop robust, reproducible workflows using internal, real-world, and public datasets, applying statistical modeling and machine learning. As an intern in our Computational Sciences department, you will work within an interdisciplinary team at the forefront of computational biology to optimize clinical trials and discover new resistance mechanisms.

The Opportunity

• Analyze and integrate multi-omic and clinical data from large clinico-genomic cohorts, including internal, in-licensed, and public datasets.
• Perform comparative and enrichment-style analyses to identify clinically relevant molecular phenotypes and biomarkers, such as resistance-associated states and lineage programs.
• Evaluate and benchmark findings against established approaches and gene signatures to ensure scientific accuracy.
• Partner with a team of computational biologists, translational scientists, and biomarker scientists to drive creative, independent solutions.
• Deliver high-quality analysis code and outputs in a reproducible, version-controlled format (git) with clear documentation.
• Contribute to real-world therapeutic research with the potential for results to be featured in conference presentations or journal publications.

Who You Are

• Enrolled in a Master’s program (or recently graduated) in computational biology, computer science, statistics, or related field.
• Strong coding skills including experience with R and version control (git)
• Research-driven mindset - prior research project experience or publications are a plus.
• Independent, analytical, and collaborative, with a passion for translating data into patient impact.
• Proficient in English (written and verbal).
• Prior experience in working with genomic & transcriptomics datasets is considered essential.
• Prior experience in cancer biology; cell identity mapping/lineage programs; patient enrichment / biomarker analyses; and/or applied ML methods is considered a plus.

Additional Information

• The earliest start date for this internship is May 2026, with a duration of 6 months
• The role requires a commitment to full-time employment.
• Please upload your CV, including contact details of at least two references, and a cover letter.
• For applicants from outside the EU/EFTA without a residence permit: a mandatory letter from the university is required, including duration, and a valid enrollment certificate.

Ready to take the next step? We'd love to hear from you. Apply now to explore this exciting opportunity!

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.