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 use cutting-edge science to create life-changing therapies. Circular RNAs represent a novel class of cancer drug targets with the potential to transform precision oncology. Their detection and characterization can support treatment outcome prediction, personalized therapy, clinical trial optimization, resistance mechanism discovery, and ultimately better treatments for patients.


In this internship within our

Computational Sciences Centre of Excellence

, you will help build a new catalog of

circular RNAs

from Roche's extensive molecular and clinical datasets, working in an interdisciplinary team at the forefront of

computational biology

and therapeutic innovation.


The opportunityAnalyzing and integrating

omics data from large clinical cohorts

, including

proprietary clinicogenomic datasets

and

public repositories

. Building a catalog of

circular RNA prevalence

in cancer. Correlating

circRNA expression

with clinical and molecular subgroups to enable biomarker and target identification. Curating and integrate datasets, developing

bioinformatics tools

, and performing

rigorous results analysis

. Composing reports on findings and presenting them to oncology researchers.

Collaborating

with an

interdisciplinary team

of computational biologists and biomarker scientists. Receiving

mentorship

while driving independent and creative solutions. Contributing to

real-world therapeutic research

with potential for conference or journal publication.

Who you are

Master's/PhD student

or recent graduate in

computational biology, computer science, statistics

, or a related field Experienced in building pipelines for next-generation sequencing (NGS) data Having strong background in

bioinformatics

or

computational biology

Having Research-driven mindset; prior publications are an advantage Independent, analytical, and collaborative, with a passion for translating data into patient impact Proficient in written and spoken

English

Start date: ideally

November 2025

(latest December 2025) Duration:

6 months

Location:

Basel

We kindly ask you to provide a motivation letter, a current CV, and your enrollment certificate/proof of qualifications.

Due to regulations non-EU/EFTA citizens must provide a certificate from the university stating that an internship is mandatory as part of the application.

Apply now - we look forward to hearing from you!


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.