Roche
Healthcare
Data&AIEngineeringInternship
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“Data & AI Engineering Internship at Roche. Skills: Data Engineering, ML workflows, Full-stack applications. Build and learn across data-to-product lifecycle. Assist in building scalable data pipelines”
Industry & Context.
What They're Looking For.
Must Have
Currently enrolled student (Bachelor’s or Master’s) in Computer Science, Data Science, Engineering, or a related field, or graduated within the last 12 months, Solid basic knowledge of programming, Familiar with SQL, Comfortable working with various data structures, Highly curious and motivated to continuously learn and experiment with new technical domains, Interested in the intersection of AI and healthcare/life sciences, Proactive approach to team collaboration
Nice to Have
Preference for Python, Exposure to ETL concepts, Exposure to ML fundamentals, Exposure to web development (frontend or backend)
What You'll Do.
Build and learn across data-to-product lifecycle
Assist in building scalable data pipelines
Process structured/unstructured datasets
Collaborate on ML & AI projects
Experiment with modern tools
Contribute to full-stack development
Build data-driven dashboards
Build backend services
How You'll Work.
Team & Collaboration
Work closely with experienced engineers and data scientists; Proactive approach to team collaboration; Participate in code reviews; Participate in team discussions; Participate in agile ceremonies; Share findings
Full Job Description
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 As a Data & AI Engineering Intern, you will work closely with experienced engineers and data scientists to build, experiment, and learn across a variety of technical areas. This role is designed to provide exposure to the full data-to-product lifecycle - from data ingestion and transformation to model development and application deployment. You will rotate across or contribute to projects spanning data engineering, ML workflows, and full-stack applications, depending on team priorities and your interests. ### The Opportunity * Work closely with experienced engineers and data scientists to build and learn across the full data-to-product lifecycle. * Rotate across projects spanning data engineering, ML workflows, and full-stack applications based on your interests. * Assist in building scalable data pipelines and processing structured/unstructured datasets using SQL and Python. * Collaborate on ML & AI projects, including preparing datasets, testing models, and experimenting with modern tools like LLMs. * Contribute to full-stack development by building data-driven dashboards, APIs, and backend services. * Gain hands-on experience with cloud platforms (AWS), containerization (Docker), and modern workflow orchestration. ### Who You Are * A currently enrolled student (Bachelor’s or Master’s) in Computer Science, Data Science, Engineering, or a related field, or have graduated within the last 12 months prior to the start date. * Possess a solid basic knowledge of programming, with a strong preferen
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