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Die Position
Your department
Your internship will take place in the Biostatistics& Data Science Core Lab& Near Patient Care department, which is part of our organization R Roche Diagnostic.
This development unit focuses on Biostatistics& Data Science. During your internship, you will work in the CC HET Biostatistics& Biophysics group.
Your tasks
- Develop machine learning models for anomaly detection in time-series data to identify infrastructure issues proactively
- Design and develop multi-agent systems for automated infrastructure monitoring and troubleshooting
- Build agentic workflows using frameworks like LangChain, LangGraph, CrewAI, or AutoGen
- Build conversational interfaces for AI-powered troubleshooting and root cause analysis
- Integrate Large Language Models (LLMs) for automated log analysis and summarization
- Build knowledge retrieval systems using RAG (Retrieval-Augmented Generation) techniques
- Design and develop user interfaces for AI-powered troubleshooting tools
- Experiment with different ML algorithms and GenAI approaches to optimize performance
- Present your results and findings to stakeholders and the broader team
Your profile
- You are currently pursuing a Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
- You have strong programming skills in Python and experience with modern development practices
- You have hands-on experience with LLM APIs (OpenAI, Azure OpenAI, Anthropic, or similar) and understand prompt engineering concepts
- You have practical experience building applications with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar
- You understand agentic design patterns (ReAct, Plan-and-Execute, Reflection, Multi-Agent Collaboration, Tool Use)
- You have experience building multi-agent systems or orchestrating multiple AI agents to solve complex tasks
- You are familiar with RAG (Retrieval-Augmented Generation) techniques and vector databases
- You have experience with API integration and working with external tools and services
- You are familiar with natural language processing techniques and text analysis
- You possess excellent communication skills, with required proficiency in both written and spoken German and English
Our offer
- Hands-On Experience: Gain practical experience in ML/AI and GenAI while working on production systems that have a real impact on clinical trial workflows and ultimately the lives of patients
- Cutting-Edge Technology: Work with state-of-the-art AI technologies including Large Language Models, RAG systems, and production-scale ML infrastructure
- Mentorship: Work closely with experienced professionals from Biostatistics& Data Science receiving guidance and mentorship throughout your internship
- Real-World Impact: See your work deployed in production, serving 120+ users in pharmaceutical research and development
- Career Development: Gain valuable experience in pharmaceutical AI/ML that will enhance your resume and prepare you for future career opportunities. Potential for full-time conversion based on performance
- Inclusive Culture: Join a diverse and inclusive workplace that values different perspectives and ideas
Your benefits
- Flexible working hours (37.5 hours/week)
- Attractive recognition grant (2,268 Euro per month for a full-time internship > 3 months)
- Discounted meal prices (- 50%) in our staff canteen
- Fitness studio on campus
- Online/Offline student networking events
- The possibility of accommodation in the Roche Boarding House or convenient transport connections to Munich with the Roche shuttle
- Training opportunities and exciting guest lectures
Your application
Simply upload your resume.
Please remember that this internship is aimed at students (m/f/d) who are currently enrolled for the entire period of the internship or, alternatively, at people in a gap year of a maximum of one year (between Bachelor's and Master's studies), where it can be proven in writing at which university/college and exactly when (month/year) within a year the studies will be continued.
Please note that recommendations for all student activities (e.g. internships, theses, etc.) are excluded.
Period: from July 2026 for a period of 6 months.
We are looking forward to your application!
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Wer wir sind
Eine gesündere Zukunft treibt uns zur Innovation an. Mehr als 100.000 Mitarbeiter weltweit arbeiten gemeinsam daran, wissenschaftliche Fortschritte zu erzielen und sicherzustellen, dass jeder Zugang zur Gesundheitsversorgung hat – heute und für zukünftige Generationen. Durch unser Engagement werden über 26 Millionen Menschen mit unseren Medikamenten behandelt und mehr als 30 Milliarden Tests mit unseren Diagnostik-Produkten durchgeführt. Wir ermutigen uns gegenseitig, neue Möglichkeiten zu erkunden, Kreativität zu fördern und hohe Ziele zu setzen, um lebensverändernde Gesundheitslösungen zu liefern.
Gemeinsam können wir eine gesündere Zukunft gestalten.
Roche ist ein Arbeitgeber, der die Chancengleichheit fördert.