Hybrid Mid-Senior Data Scientist – AI Medical Imaging

at deepeye Medical

• Job title: Mid-Senior Data Scientist – AI Medical Imaging
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Postgres, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Munich, Germany

About the role

• Data Scientist in AI Medical Imaging developing algorithms for improving ophthalmology diagnostics. Collaborating with cross-functional teams to integrate AI solutions into medical workflows.

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 medical 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 conditions.
• Stay up to date with the latest developments in AI and medical technology, applying innovative approaches to improve products and patient outcomes.

Requirements

• 2+ years of practical industry experience in machine learning and deep learning, including working knowledge of CNNs, U-Net architectures, and standard ML techniques such as cross-validation and regularization.
• 4+ years of applied experience in computer vision and image analysis, including 2D/3D image processing, segmentation, and spatial normalization.
• Strong programming skills in Python and experience with common machine learning frameworks such as PyTorch or TensorFlow.
• Degree in Data Science, Computer Science, Bioengineering, (Medical) Physics, or a related quantitative field.
• Experience working interdisciplinarily with physicians, data scientists, data engineers, and software engineers.
• Experience analyzing and querying data using relational databases such as PostgreSQL.
• Interest in extending clinical AI objectives to new areas such as diabetic macular edema (DME) or retinal vein occlusion (RVO).
• Working proficiency in English (C1 level or higher).

Benefits

• Direct impact on improving patients' quality of life by helping prevent blindness.
• High level of ownership for your projects and opportunities for rapid professional growth.
• Flexible working hours and remote work options.
• Competitive compensation and a dynamic startup culture within a great international team.
• Centrally located office in the Munich startup hub.