Are you passionate about data management, automation, and AI research? Do you enjoy working in an interdisciplinary environment where your work directly impacts scientific discoveries? If so, join our team as Data Engineer / Data Manager (30h) at the Computational Imaging Research Lab (CIR, Medical University of Vienna)!
Expected starting date: as of May 05th 2025, until December 31st, 2025 (with Option to extend)
Salary will be based on the university wage agreement.
Your Role: You will support our interdisciplinary research group at the intersection of AI, medical imaging and precision medicine (www.cir.meduniwien.ac.at), particularly in the Christian Doppler Laboratory "Machine Learning Driven Precision Imaging" to develop AI models for personalized cancer treatment (https://www.cir.meduniwien.ac.at/mlpi).
- Manage & structure large medical imaging datasets
- Optimize scientific data pipelines and databases
- Coordination of data transfer and data security
- Work closely with AI researchers, clinicians, and data scientists
Your Profile:
- Strong data engineering / data management skills (database design, data pipelines)
- Proficiency in SQL, Python and/or other programming languages.
- Background in Computer Science or a related field.
- Curiosity to dive into new topics - whether it’s big data or medical imaging.
- Strong communication & teamwork skills in an interdisciplinary setting.
What we offer:
- Join a young, mission-driven team, directly contributing to AI research in medicine.
- Collaborate with leading AI & medical experts
- Great work environment - Friendly, international team in one of the world’s most livable cities, with health programs, an on-site cafeteria and excellent public transport.
- Flexible working hours to support work-life balance.
- Social events that foster team spirit and networking.
Apply by April 23th, 2025
Send an email to bewerbungen@meduniwien.ac.at with the subject line ‘Application CIR – Data Manager, Reference number: 237/25:
- CV (if possible including contact details of two references)
- A cover letter (max one page) indicating your interests and why your expertise is relevant
Female candidates are explicitly encouraged to apply!