2026 Intern Digital Pathology

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

The opportunity:

At Roche Diagnostic Solution (RDS) Computational Science and Informatics (CSI) Pathology Lab Solution we think out of the box to develop advanced analytics that benefit patients today and tomorrow. We are looking for a talented intern to join our team of imaging scientists and software engineers for an exciting and challenging this position you will lead the exploration of state-of-the-art computer vision techniques for pathology image analysis and devise novel deep learning algorithms with potential applications in the broader healthcare regime. You will be connected with other interns from various analytics teams across the organization and work on an innovative project in digital pathology by applying advanced analytics and machine learning approaches to the companys real-world imaging data.

• Collaborate with the team and other stakeholders to evaluate state-of-the-art computer vision techniques and applications in pathology image analysis particularly with deep-learning and machine-learning approaches

• Devise implement and interpret deep learning algorithms to address selected research questions in digital pathology

• Proactively share learnings and knowledge to support the development of the wider Roche community

• Help shape the direction of machine learning and artificial intelligence within Roche.

Who you are:

• You are currently pursuing a PhD (preferred) or MSc candidate in a quantitative field such as Biomedical Engineering Data Science Statistics or Computer Science.

• In-depth knowledge of machine learning with hands-on experience applying algorithms to imaging data (ideally biomedical).

• Fluency in Python and deep learning frameworks with experience in high-performance computing (HPC) and parallelization for large data sources.

• High value placed on experience with omics data (genomic sequencing) Large Language Models (LLMs) multimodal analysis or generative models such as Generative Adversarial Network (GAN) and Diffusion model .

• A track record of publications in top-tier journals/conferences experience with reproducible research (Git) and contributions to open-source libraries.

• A self-motivated creative problem solver who is comfortable with ambiguity and passionate about applying novel methodologies to healthcare.

Additional Information:

Location: Remote Within Canada.

Hours: Full-time (35 hours per week) Internship.

Length: This position is a 4 months internship (full-time 35 hours per week) and is expected to begin in May 2026.

This position is not eligible for relocation support.

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We use artificial intelligence to screen assess or select applicants for this role.

This posting is for an existing vacancy at Hoffmann-La Roche Ltd.

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.