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 PositionAbout Us
During this six-month internship in the Roche Pharma Research and Early Development Data and Analytics Department, you will be based in Basel, Switzerland, joining a dynamic team of researchers with expertise in computer science, image processing, and bioinformatics. You will receive comprehensive support to ensure the project's success, with guidance provided to conduct independent research and encouragement to approach problems creatively.
The Opportunity:Your work will focus on the field of digital pathology, where Whole Slide Images (WSIs) —high-resolution digital scans of tissue sections— are essential for diagnostics. Understanding tissue at the cellular level offers a significant opportunity to advance this field. However, extracting and integrating such detailed information from large WSI datasets presents substantial computational and storage challenges. This internship project aims at developing efficient methods to capture and represent cell morphology and topology, enabling the extraction of interpretable, spatially informed WSI-level features. The project will specifically focus on oncology applications to improve diagnostic precision and scalability for cancer-related digital pathology analyses.
Who You are:
You are enrolled or have completed your Bachelor’s or Master’s degree at a university within the past 12 months prior to the start date, preferably in the field of Computer Science, Bioinformatics, etc.
You possess strong coding skills in Python and are proficient with deep learning frameworks (e.g., PyTorch or TensorFlow).
You are enthusiastic about medical image analysis and computer vision
You demonstrate excellent communication and collaboration skills, with proficiency in English, both written and verbal.
Experience in digital pathology is advantageous and experience in computational biology or bioinformatics is preferred but not essential
Your complete application includes the following documents:
A current CV and a Motivation Letter, where you indicate your preferred start date of the internship
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 documents, and must be continuously enrolled in their university program for the whole duration of this internship.
Start date: 15 August 2025, or upon availability
Duration: 6 months, full-time (40 hours/ week)
Location: Basel
If you are proud of contributing and feel you have the dedication to teamwork and innovation that we are seeking, then Roche is the organization for you. Every role at Roche plays a part in making a difference to patients’ lives. If you want to work in a passionate team, make your mark & improve lives, apply now!
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.
Roche Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Roche and has not been reviewed or approved by Roche.
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Retirement Support — U.S. materials describe a 401(k) with both matching and an additional company contribution, supported by formal plan documents and true‑up features. This structure is positioned as a standout element of the total package, particularly at Genentech.
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Leave & Time Off Breadth — Time‑off provisions include substantial vacation, a year‑end shutdown, and a paid six‑week sabbatical after six years. These elements indicate a recharge‑oriented approach within the U.S. offering.
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Healthcare Strength — Company materials emphasize comprehensive medical, dental, vision, and mental‑health resources alongside well‑being programs. Benefits pages consistently highlight breadth across core health coverage elements.
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What We Do
Roche is a global pioneer in pharmaceuticals and diagnostics focused on advancing science to improve people’s lives. The combined strengths of pharmaceuticals and diagnostics under one roof have made Roche the leader in personalised healthcare – a strategy that aims to fit the right treatment to each patient in the best way possible. Roche is the world’s largest biotech company, with truly differentiated medicines in oncology, immunology, infectious diseases, ophthalmology and diseases of the central nervous system. Roche is also the world leader in in vitro diagnostics and tissue-based cancer diagnostics, and a frontrunner in diabetes management. Founded in 1896, Roche continues to search for better ways to prevent, diagnose and treat diseases and make a sustainable contribution to society. The company also aims to improve patient access to medical innovations by working with all relevant stakeholders. Thirty medicines developed by Roche are included in the World Health Organization Model Lists of Essential Medicines, among them life-saving antibiotics, antimalarials and cancer medicines. Roche has been recognised as the Group Leader in sustainability within the Pharmaceuticals, Biotechnology & Life Sciences Industry ten years in a row by the Dow Jones Sustainability Indices (DJSI).







