Data Scientist / ML Engineer

At AIRAmed , we work at the interface between medical research and applied technological innovation. We develop medical software solutions to bring innovative research results to patients in a timely manner and to significantly improve the lives of patients and their families.

Alzheimer's disease and other dementias are considered the second most feared diseases after cancer. With our AI software, we enable early detection of these diseases. The earlier neurodegenerative diseases are detected, the greater the chance of successful therapy.

To make this innovative software internationally successful, we are looking for you!

• Building ML models in the field of medical image processing
• Creating data sets for training and validation of ML models
• Creation and further development of ML training environments
• Validation of the performance of our medical products through data analysis
• Creation of technical documentation

Your profile

• Degree in (medical) informatics, mathematics, economics, or natural sciences or comparable qualification
• Strong analytical and strategic mindset, flexibility, willingness to innovate, and excellent communication skills
• Enthusiasm for data analysis
• Sound programming skills in Python
• Competence in data analysis and data visualization with Python (especially Pandas, Numpy, SciPy, and stats models)
• Broad knowledge of statistical methods and their application
• Experience in building ML models in the field of image processing
• Experience with ML frameworks such as PyTorch or TensorFlow
• Knowledge of Linux and Docker
• Good English skills, both written and spoken
• A plus: experience with Kubernetes or AWS as well as knowledge of medical imaging (e.g. MRI).

You are missing some of the mentioned requirements, but do you want to be part of AIRAmed? We look forward to getting to know you anyway!

We offer

• An exciting challenge in an innovative market
• A highly motivated and collegial environment in which you can bring in your ideas and influence from day one
• Short decision-making processes and flat hierarchies
• A high degree of personal responsibility
• Passion for innovative technologies and a unique team that enjoys its work and loves taking on challenges

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