Lead Data Scientist driving ML and data science initiatives for advertising technology at Disney. Collaborating with a team to enhance ad decisioning and user experience optimization with generative AI.
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.
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