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

Join our diverse, open, and friendly team as an Intern – Data Scientist / Machine Learning Engineer in Mississauga, where we leverage technology to revolutionize the practice of medicine. You will have the unique opportunity to collaborate with multi-disciplinary teams to design and deploy high-quality data solutions, focusing heavily on Large Language Models (LLMs) to improve patient outcomes. Bring your enthusiasm for technological advancements to help us achieve our mission: to do now what patients need next.

The Opportunity:

• Collaborate with experienced Data Scientists, engineers, and cross-functional teams to address complex problems using modern NLP technologies and LLMs.

• Assist in building robust data and deployment pipelines for machine learning models.

• Contribute to the development, deployment, and performance tuning of innovative machine learning models based on business and functional requirements.

• Document and communicate design and implementation details effectively while assisting the AI team in making key technical decisions.

• Partner with clients and informatics departments to deploy scalable solutions, actively participating in troubleshooting and root cause analysis.

• Thrive in a knowledge-sharing team environment that deeply values diverse experiences and a variety of perspectives.

Who You Are:

• You are a passionate, customer-focused, and enthusiastic individual with strong problem-solving and decision-making skills. You communicate effectively and enjoy working with diverse, virtual teams from different locations and cultural backgrounds.

• Your minimum qualifications and experience include:

• You are currently pursuing a Master's degree in a quantitative field (e.g., mathematics, statistics, computer science) or a Life Sciences degree with significant computational experience.

• You have programming capabilities in languages such as Python or R, alongside an awareness of good coding practices and test-driven development.

• You bring experience or coursework related to Large Language Model (LLM) applications development (e.g., RAG, code interpreter) and a basic understanding of building LLM data/deployment pipelines.

• You possess exposure to ML/AI toolkits (such as PyTorch, TensorFlow, Keras, AWS SageMaker) and basic knowledge of cloud solutions (AWS, Azure, GCP) and MLOps technologies.

• You hold basic knowledge of development tools like git, bash, Linux, and CI/CD tools, with proven scripting and automation skills.

Additional Information:

• Location: Mississauga, ON.

• Modality: Hybrid (majority of days in the office).

• Full time (35 hours per week)

• Duration 12 months with an approximate start date in September 2026.

Please note that relocation benefits are not available for this job posting.

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.