2026 Intern - Digital Pathology

Roche

8h • Remote

About The Position

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 internship. In 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 company’s 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. #RocheInternshipCA2026 The expected salary range for this position based on the primary location of Mississauga is 57 416,00 and 75 358,50 of hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company. 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 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. We believe it’s urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.

Requirements

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

Nice To Haves

• 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.

Responsibilities

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Number of Employees: 5,001-10,000 employees