F. Hoffmann-La Roche AG
Praktikum im pharmazeutischen Produktions-Support(m/w/x)
Full-time/Part-timeInternshipOn-site
Kaiseraugst
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RORoche
Data & AI Engineering Internship(m/w/x)
Kaiseraugst
Part-timeInternshipOn-site
AI/ML
Nejo AI Summary
Full data-to-product lifecycle rotation across data engineering, ML, and full-stack apps. Basic Python and SQL programming knowledge required. Work on actual use cases with dedicated mentorship.
Requirements
- Currently enrolled student (Bachelor’s/Master’s) in CS, Data Science, Engineering, or related field, or graduated within last 12 months
- Solid basic programming knowledge, preference for Python
- Familiarity with SQL and data structures
- High curiosity and motivation for learning new technologies
- Exposure to ETL concepts, ML fundamentals, or web development (frontend/backend)
- Interest in AI and healthcare/life sciences, proactive team collaboration
- Non-EU/EFTA citizens: mandatory internship certificate from university, continuous enrollment required
Tasks
- Work closely with experienced engineers and data scientists
- Build and learn across the full data-to-product lifecycle
- Rotate across projects in data engineering, ML workflows, and full-stack applications
- Assist in building scalable data pipelines
- Process structured and unstructured datasets using SQL and Python
- Collaborate on ML and AI projects
- Prepare datasets for model testing
- Experiment with modern tools like LLMs
- Contribute to full-stack development
- Build data-driven dashboards, APIs, and backend services
- Gain hands-on experience with cloud platforms (AWS)
- Work with containerization (Docker)
- Participate in modern workflow orchestration
- Participate in code reviews and team discussions
- Engage in agile ceremonies
- Present demos and share findings
- Contribute to reproducible workflows
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- ETL
- ML
- web development
- frontend
- backend
- AI
Benefits
Mentorship & Coaching
- Dedicated mentorship
Diverse Work
- Work on actual use cases
Career Advancement
- Career growth opportunities
Startup Environment
- Agile environment participation
Other Benefits
- Code reviews
- Agile ceremonies
- Cloud platforms
- System monitoring/logging
- Present demos
- Contribute to reproducible workflows
Informal Culture
- Team discussions
Modern Equipment
- Access to modern tooling
Learning & Development
- Learning culture
Purpose-Driven Work
- Share findings
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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RORoche
Data & AI Engineering Internship(m/w/x)
Kaiseraugst
Part-timeInternshipOn-site
AI/ML
Nejo AI Summary
Full data-to-product lifecycle rotation across data engineering, ML, and full-stack apps. Basic Python and SQL programming knowledge required. Work on actual use cases with dedicated mentorship.
Requirements
- Currently enrolled student (Bachelor’s/Master’s) in CS, Data Science, Engineering, or related field, or graduated within last 12 months
- Solid basic programming knowledge, preference for Python
- Familiarity with SQL and data structures
- High curiosity and motivation for learning new technologies
- Exposure to ETL concepts, ML fundamentals, or web development (frontend/backend)
- Interest in AI and healthcare/life sciences, proactive team collaboration
- Non-EU/EFTA citizens: mandatory internship certificate from university, continuous enrollment required
Tasks
- Work closely with experienced engineers and data scientists
- Build and learn across the full data-to-product lifecycle
- Rotate across projects in data engineering, ML workflows, and full-stack applications
- Assist in building scalable data pipelines
- Process structured and unstructured datasets using SQL and Python
- Collaborate on ML and AI projects
- Prepare datasets for model testing
- Experiment with modern tools like LLMs
- Contribute to full-stack development
- Build data-driven dashboards, APIs, and backend services
- Gain hands-on experience with cloud platforms (AWS)
- Work with containerization (Docker)
- Participate in modern workflow orchestration
- Participate in code reviews and team discussions
- Engage in agile ceremonies
- Present demos and share findings
- Contribute to reproducible workflows
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- SQL
- ETL
- ML
- web development
- frontend
- backend
- AI
Benefits
Mentorship & Coaching
- Dedicated mentorship
Diverse Work
- Work on actual use cases
Career Advancement
- Career growth opportunities
Startup Environment
- Agile environment participation
Other Benefits
- Code reviews
- Agile ceremonies
- Cloud platforms
- System monitoring/logging
- Present demos
- Contribute to reproducible workflows
Informal Culture
- Team discussions
Modern Equipment
- Access to modern tooling
Learning & Development
- Learning culture
Purpose-Driven Work
- Share findings
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Roche and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Roche
Industry
Pharmaceuticals
Description
The company is dedicated to advancing science and ensuring access to healthcare for everyone.
Not a perfect match?
- F. Hoffmann-La Roche AG
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