(Junior) Data Scientist/Engineer developing AI software for medical imaging at deepeye. Collaborating with interdisciplinary teams to enhance ophthalmological diagnostics and prevent blindness.
Responsibilities
Develop and optimize machine learning algorithms for medical imaging applications to improve the accuracy and efficiency of ophthalmic diagnostics.
Collaborate with cross-functional teams, including software engineers and clinicians, to integrate AI solutions into existing clinical workflows and tools.
Analyze large datasets from diverse sources to ensure data quality and integrity, and to train and validate AI models for detecting eye-related diseases.
Stay up to date with the latest developments in AI and medical imaging technologies and apply innovative approaches to improve products and patient outcomes.
Requirements
2+ years of applied experience in computer vision and medical image analysis, including 2D/3D image processing, segmentation, and spatial normalization.
Initial professional experience in industry applying machine learning and deep learning, including practical knowledge of CNNs and U-Net architectures.
Strong programming skills in Python and experience with common machine learning frameworks such as PyTorch or TensorFlow.
A degree in Data Science, Computer Science, Bioengineering, (Medical) Physics, or a similar quantitative field.
Experience analyzing and managing data using relational databases such as PostgreSQL.
Experience collaborating in interdisciplinary teams of clinicians, data scientists, data engineers, and software developers.
Fluent English skills (C1 or higher).
Benefits
Direct impact on improving patients' quality of life by preventing blindness.
High personal ownership of your projects and the opportunity for rapid professional growth.
Flexible working hours and remote work options.
Competitive compensation and a vibrant startup culture within a great international team.
A central office in Munich's startup hub.
Job title
Junior Data Scientist/Engineer - AI Medical Imaging
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