Data Scientist for AI in Medicine | Data Scientist (m/w/d) / 12153 / Institut für künstliche Intelligenz in der Medizin
Universitätsklinikum Essen
Job Summary
This role involves working as a Data Scientist within the Institute for Artificial Intelligence in Medicine, focusing on developing cutting-edge, AI-based gesture controls for smart medical devices, such as urinary catheters. The day-to-day responsibilities include the full lifecycle of AI model development: data preparation (collecting, cleaning, and transforming data), analyzing complex sensor and image data (specifically optoelectronic sensors), and designing, training, and validating machine learning models like neural networks. A successful candidate must possess a university degree in a quantitative field (e.g., Computer Science, Physics, Engineering) and demonstrated expertise in Python, along with essential Data Science libraries such as TensorFlow, PyTorch, and Scikit-Learn. This is a unique opportunity to apply advanced Computer Vision and predictive modeling skills in a high-impact medical research environment, offering a secure position in the public sector with fair compensation and a family-friendly culture.
Required Skills
Education
University degree in Computer Science, Physics, Mathematics, Engineering, or a comparable field
Experience
- Professional experience with Python and essential Data Science/AI libraries (TensorFlow, PyTorch, Scikit-Learn)
- Proven knowledge in statistical analysis and developing/training predictive models (e.g., Neural Networks, Random Forests, MLPs)
- Experience and interest in Computer Vision, particularly analyzing image and sensor data
- Experience in developing solutions for complex technical challenges
Languages
Additional
- Certification regarding vaccination and serostatus concerning measles (§23a IfSG) is required.
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