Senior Data Scientist

Damae Medical commercialises deepLive™, a unique medical imaging solution in the world that allows the skin to be observed at cellular resolution, in real time and non-invasively (2D, video and 3D).

To help dermatologists in their decision-making, improve the speed and relevance of diagnoses or make surgical procedures more precise, Damae Medical is developing embedded AI models for the real-time detection of cancers (e.g. IA BCC).

You will be required to improve existing models and develop new ones for better performance, support new clinical indications while ensuring a high level of model explainability to maintain trust with physicians.

As part of more fundamental research into how the skin works and the development of skin actives or treatments, Damae Medical is also developing AI segmentation models and models for characterising skin biomarkers (e.g. IA atypie). You will contribute to developing new models (2D or 3D) to better understand and quantify how the skin functions and how pathologies develop.

Your responsibilities

• Scientific monitoring to stay up to date with the latest innovations.

• Understanding the challenges in dermatology and determining the best approach to meet the need.

• Publication of scientific papers in international journals, with possible participation in medical conferences.

• Taking part in creating datasets for training the models, developing optimised tools.

• Planning the developments and defining the success criteria of the projects.

• Developing and testing the models (cross-validation).

• Analysing the results and implementing avenues for improvement in performance.

• Deploying the models and contributing to the software integration.

• Taking part in the clinical validation plan and the valorisation of results (scientific articles, conferences).
  

Why join us?

• Working closely with the Software and Clinical teams and our partner physicians, you will be responsible for the scientific reputation of our work.

• This role offers a rare opportunity to master the entire lifecycle of a medical AI model: from its design and ideation through its training, up to its production deployment.

• Damae Medical places innovation at the heart of its culture and actively encourages the publication of your advances in leading scientific journals.

• Genuine deep learning research activity. More than 3 million images already collected and annotated to work with. AI models are in production and/or on the market.
  

Profile sought

You have a scientific education with at least 7 to 12 years of experience in data science.

Your expertise is focused on developing deep learning models in computer vision (image analysis). You also have experience in putting models into production and deploying them.

• Machine learning, deep learning, image processing, computer vision (CNN)

• Language: Python

• Deep learning library: PyTorch

• Deployment of models in production, embedded software (low technical constraints)

• Use of AI development tools (Codex, Claude Code)

• Professional English (written/spoken)

• Curiosity about the latest innovations in the field, cross-disciplinary creativity in deep learning (e.g. track record of personal AI projects - Kaggle, competitions)

• State of the art of AI applications in medical imaging / dermatology, adoption challenges for healthcare professionals (explainability, liability)

• Data management challenges (collecting, sorting and labelling datasets)

• Very strong scientific rigour for developing and validating models

• Willingness to collaborate with application engineers and/or physicians

• Autonomy and leadership in driving complex, long-term projects

• Ability to explain, communicate and promote results (scientific articles, medical community…)

Conditions and benefits

• Permanent contract (CDI).

• Salary according to level of expertise and years of experience.

• Location: Paris 13th arrondissement, near Olympiades metro station.

• Possibility of working remotely up to 2 days per week.

• 30 days of paid leave per year.

• Alan supplementary health insurance (with "family" option).

• Meal vouchers of €8.50/day (60% funded by the company).

• Wellpass sports subscription.

• Annual profit-sharing bonus.