AI and Digital Pathology Intern

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

We are seeking a dedicated and motivated intern to join our Integrated Informatics team, focusing on Digital Pathology projects. This exciting role involves collaboration with our early research organization to evaluate secure research cloud solutions, aiming to revolutionize healthcare through technological innovation.

The Opportunity:

• Collaborate with teams in informatics and early research organizations to evaluate and implement secure research cloud solutions.

• Evaluate cloud-based software solutions specifically tailored for Digital Pathology.

• Analyze and interpret histopathological specimen data using sophisticated computational techniques.

• Integrate deep learning models into biomedical image analysis and pathology workflows.

• Use high-performance computing environments to process and run large datasets.

• Contribute to the improvement of machine learning models and the development and optimization of algorithms for Digital Pathology applications.

Who you are:

• Current pursuing M.Sc. or PhD candidate  in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

• Strong foundation in Machine Learning, Computational Biology, Computer Science, Software Engineering, Bioinformatics, Data Science, or a related field.

• Excellent programming skills in Python 3.x and Bash, with deep understanding of Linear Algebra and Numpy.

• Experience in Microscopy, Digital Pathology, Histopathological specimen preparation, or Biomedical Image analysis.

• Previous experience in Deep Learning and Computer Vision, with familiarity in High Performance Computing (HPC) environments and modern Deep Learning frameworks like PyTorch and TensorFlow 2.x.

• Strong problem-solving skills, with the ability to work independently and collaboratively within a team.

Additional Information:

Location: Hybrid, Based in Mississauga (minimum 3 days in the office)

Hours: full-time (35 hours per week)

Length: This position is a minimum 6-month work term (full-time).

This position is not eligible for relocation support.

Who we are

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.