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About the Role
Damae Medical is commercializing deepLive™, a unique medical imaging solution for observing skin at cellular resolution in real-time and non-invasively. We are developing embedded AI models for real-time cancer detection and for segmentation and characterization of skin biomarkers to aid dermatologists in decision-making, improve diagnostic speed and accuracy, and refine surgical procedures.
Responsibilities
- Contribute to the scientific excellence and outreach of AI research at Damae Medical.
- Conduct scientific watch to stay updated on the latest innovations.
- Understand dermatological challenges and determine the best approach to meet needs.
- Publish scientific papers in international journals and potentially participate in medical conferences.
- Participate in creating datasets for model training and develop optimized tools.
- Plan developments and define project success criteria.
- Contribute to the development and market launch of deepLive™ AI.
- Develop and test models (cross-validation).
- Analyze results and implement performance improvement strategies.
- Deploy models and contribute to software integration.
- Participate in the clinical validation plan and results valorization (scientific articles, conferences).
Requirements
- Scientific background with 7 to 12 years of experience in data science.
- Expertise in developing deep learning models in computer vision (image analysis).
- Experience in model production and deployment.
- Proficiency in Machine learning, deep learning, image processing, and computer vision (CNN).
- Proficiency in Python.
- Experience with Pytorch deep learning library.
- Experience with deploying models in production and embedded software (low technical constraints).
- Experience using AI development tools (Codex, Claude code).
- Professional English (written/oral).
- Strong scientific rigor for model development and validation.
- Willingness to collaborate with application engineers and/or physicians.
- Autonomy and leadership in managing complex long-term projects.
- Ability to simplify, communicate, and valorize results (scientific articles, medical community).
Skills
- Machine learning
- Deep learning
- Image processing
- Computer vision (CNN)
- Python
- Pytorch
- Model deployment
- Embedded software
- AI development tools (Codex, Claude code)
- Scientific rigor
- Collaboration
- Leadership
- Communication
- Curiosity for innovations
- Creativity in deep learning
- AI applications in medical imaging/dermatology
- Explicability
- Liability
- Data management (dataset collection, sorting, labeling)
Location
- Paris 13th, near Olympiades metro
Work Type
- CDI contract
- Hybrid (up to 2 days remote per week)
Experience Level
- 7-12 years of experience in data science
Salary/Compensations
- Compensation based on expertise level and years of experience
Benefits
- 30 days of leave per year
- Alan mutual insurance (with family option)
- Restaurant tickets of €8.50/day (60% company-funded)
- Wellpass sports subscription
- Annual profit-sharing bonus
About the Company
- Damae Medical commercializes deepLive™, a unique medical imaging solution for observing skin at cellular resolution in real-time and non-invasively (2D, video, and 3D).
- We develop embedded AI models for real-time cancer detection and for segmentation and characterization of skin biomarkers.
- Innovation is at the heart of our culture.
- We encourage the publication of advancements in leading scientific journals.
- We have over 3 million images collected and annotated.
- AI models are in production and/or on the market.