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A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

Welcome to the Pathology Lab Solutions department at Roche Diagnostic Solutions, where we blend cutting-edge research with product innovation in the digital pathology domain. As part of the Computational Science and Informatics division, we specialize in developing state-of-the-art whole slide image scanners and advanced AI algorithms. Our team excels in both pioneering frontier research and creating commercial solutions that enhance diagnostic accuracy and efficiency. Join us to collaborate with leading experts, engage in projects that have a global impact, and help redefine the future of pathology through technology. At Roche, your expertise and creativity will drive transformative change in healthcare.

The Opportunity:

At Roche, we believe out of the box to develop sophisticated analytics that benefit patients today and tomorrow. We are looking for a dedicated intern to join our team of imaging scientists and software engineers for an exciting and ambitious internship. In this position, you will lead the exploration of innovative 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 findings 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:

Must be enrolled in a MSc/PhD program in Biomedical Engineering, Statistics, Mathematics, Data Science, Electrical Engineering, Computer Science or related field; PhD candidate preferred.

Preferred:

In-depth knowledge of machine learning and deep learning, with a focus on imaging data, especially biomedical imaging.

Experience with omic data analysis and large language model (LLM) or multimodal analysis is advantageous.

Proficiency in parallelization, HPC cluster computing, Python, deep learning frameworks, and reproducible research practices (like Git).

Strong communication and collaboration skills, coupled with a passion for applying machine learning to healthcare.

Preferred experience includes publications in top conferences/journals and contributions to open source projects.

Additional Information:

Duration (4 months), work term (Full time) and will begin in May of 2025. 

Location: Based in Mississauga, Ontario.

Our team follows a hybrid work structure (minimum 3 days in the office).

This position is not eligible for relocation support.

#SummerInternship2025

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

Roche Pharma Canada has its office in Mississauga, Ontario and employs over 850 employees. The Mississauga facility is bright, vibrant, fosters collaboration and teamwork, and is reflective of Roche's truly innovative culture.

As of January 4, 2022, Roche requires all new employees who work in Canada to be fully vaccinated against COVID-19 on the date they take office. This requirement is a condition of employment at Roche that applies regardless of whether the position is on a Roche campus or remotely. If you have a valid reason for not being fully immunized, which is limited to certain specific medical reasons or other valid reasons protected by applicable human rights laws, you may request an exemption and / or adaptation measures regarding this vaccination requirement.

Roche is an Equal Opportunity Employer.