2025 Summer Intern - Data Scientist / Machine Learning Intern
Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.
The Position
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.
The Opportunity
We are on the lookout for a passionate and enthusiastic Data Scientist/Machine Learning Engineer intern to join the Roche Product Development Group Centre of Excellence (COE). At the COE, we strive to harness innovative technology to revolutionize medical practices and improve patient outcomes.Our team is a vibrant mix of diverse, open, and friendly individuals who are deeply passionate about technological innovation and crafting efficient enterprise solutions. We cherish knowledge-sharing, diverse experiences, and a wide range of perspectives.
As a Data Scientist/Machine Learning Engineer intern, you will have the unique opportunity to work alongside multi-disciplinary teams to craft, develop, and deploy structured, high-quality data solutions. Your focus will particularly be on applications of Large Language Models (LLMs), driving forward the mission of our PDG: to do what patients need next.
- Collaborate with Data Scientists, ML engineers, MLOps/DevOps engineers, and multi-functional teams to take on sophisticated problems using modern NLP technologies, especially LLMs.
- Assist in building and maintaining data and deployment pipelines for machine learning models.
- Contribute to the development and deployment of ML models based on business and functional requirements, while performing performance tuning.
- Document and effectively communicate design and implementation details.
- Aid the COE AI team in technical decision-making and collaborate with clients and informatics departments to deploy scalable and maintainable solutions.
- Engage in troubleshooting efforts and conduct root cause analysis when issues arise.
Who You Are:
- Currently pursuing a Master's degree in a quantitative field (e.g., mathematics, statistics, computer science, electrical engineering) or Life Sciences degree with significant computational experience.
- Foundational knowledge of MLOps technologies (e.g., Sagemaker, Vertex AI, Kubeflow), cloud solutions (AWS, Azure, GCP), and containerization with Docker.
- Proven scripting and programming skills in Python or R, along with familiarity with git, bash, Linux, CI/CD tools (e.g., Jenkins, Gitlab CI), and visualization tools (e.g., Tableau, Jira, Confluence).
- Awareness of good coding practices, test-driven development, and the software development lifecycle.
- Strong problem-solving, decision-making skills, good interpersonal and communication abilities, and a customer-focused approach.
- Ability to work effectively with team members and virtual teams from diverse locations and cultural backgrounds,
Preferred:
- Experience in scalable app deployment and clinical study data being a plus.
Additional Information:
- Duration (12 months), work term (Full time) and will begin in (May, 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.
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.