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
We are looking for committed students for our study cooperation program who implement projects relevant to our company and shape changes with foresight, expertise and international orientation.
Are you looking for a challenging start into your professional life?
Are you interested in a practical assignment followed by a master’s thesis in our company? Then this is your chance!
We offer you practical assignments and key tasks that enable you to expand your skills and get to know our company.

YOU FULFILL THE FOLLOWING REQUIREMENTS:

• You are a student attending the Constructor University and can confirm this with your enrollment certificate.
• You are prepared to complete the mandatory internship prescribed by the course of study and the master’s thesis in faculties on campus.
  The Roche Cooperative Study Program alternates between lectures and internships as part of your master’s degree program at Constructor University and practical assignments at Roche during semester breaks. The practical assignments prepare you for the job-related fields of Master of Science, Data Engineering qualification.
  Start of the study cooperation: June 1st, 2025
  Duration of cooperation: July 31st, 2026

• Structured technology management including scanning, scouting and monitoring of emerging technologies
• Conducting feasibility studies and pilot projects
• Automation and monitoring key production processes with standard IT tools (Scada, DCS, historians).
• Applying state of the art methods for advanced data analysis and statistical methods for drug development
• Enhance process understanding and robustness using design of experiments and multivariate data analysis methods
• Automate redundant processes to speed up drug development
• Help reducing routine maintenance efforts and avoid unnecessary production equipment downtimes
• Apply Data Science to create new information and integrate them in new digital solutions
• Analyse internal and external data as key to generate new insights in drug development, biomarker discovery, research or production processes