Position

The Department of Orthopaedics and Sports Orthopaedics at the TUM Klinikum Rechts der Isar is looking for a motivated working student to develop a web application supporting the Fast-Track program, an enhanced recovery pathway in arthroplasty that thousands of our patients participate in each year (https://ortho.mri.tum.de/gelenkersatz/fast-track-konzept.html). The aim of this project is to design and implement a web application that streamlines manual data entry for the Fast-Track program while establishing a robust and reusable data foundation for future clinical and scientific use.

We are offering a project-based, time-limited (approximately 3 months) working student position that offers the opportunity to work on a real-world clinical application with immediate impact.

The Role

As a working student, you will:

• Work closely with clinical experts and researchers at the interface of medicine and software engineering
• Translate real clinical workflows and requirements into a usable technical solution
• Design and implement a web application from scratch
• Choose a suitable tech stack of your choice (frontend, backend, database)
• Iterate based on direct feedback from clinical users, with usability as a top priority

What You Bring

We are open to both experienced web developers and strong generalist engineers. Ideally, you bring:

• Enrollment in Computer Science, Software Engineering, Information Engineering, Data Engineering, or a related field
• Practical experience in web development (full stack)
• The ability to understand domain-specific requirements and translate them into clean, working code
• Structured and independent working style
• Good German skills as the working language in the clinic is German

What We Offer

• Flexible setup: 10-20 h/week, hybrid working options
• Flexible start date, but preferably as soon as possible
• Mentorship: Work alongside clinical experts and computer scientists
• High degree of ownership: Own the technical conception and implementation of the web application end-to-end
• Real impact: Your code will be used to improve clinical workflows and boost the secondary use of clinical data

How to apply

Send a short email with your CV/Portfolio to: florian.hinterwimmer@tum.de and laura.amenda@tum.de. We are looking forward to receiving your application!