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Location: Bordeaux, France
Start: now

Keywords: Echocardiography, Deep learning

Education: MSc/Ph.D. in computer science/mathematics/data science or similar

Experience: 5+ years


DESKi, “learn” in Breton, is a young and innovative company, combining a solid expertise in both echography and artificial intelligence. 

Our vision is to unleash access to cardiac care by spreading ultrasound expertise.


After 4 years of research, we developed real-time AI-driven algorithms able to guide operators performing cardiac ultrasound exams. 

Deski is now building HeartFocus to empower any healthcare professional to accurately perform a cardiac ultrasound exam and support the interpretation of the acquired US images. 


Having secured its financing, DESKi will start commercialized in 2024 after the attainment of FDA and CE certification.


Your mission will be to improve our guidance algorithms and develop our next generation of AI models to facilitate the access to cardiac care  (classification/segmentation/detection). You’ll achieve this by structuring our machine learning projects technically and in harmony with clinical and regulatory teams. You will work closely with software developers, researchers, and clinicians to implement models that can be integrated into our medical devices. You will join us to:

  • Lead the R&D team ( 3 data scientists + 1 full-stack)

  • Design ML pipelines from data collection to certified and clinically validated results

  • Lead the scientific documentation writing to support our regulatory submission to regulatory bodies ( FDA in the USA, CE mark in Europe)

  • Manage research projects, including project scoping, literature review, data collection, resource allocation, timeline management, and risk mitigation

  • Communicate project status, risks, and outcomes to stakeholders, including technical and non-technical audiences

  • Promoting research work through communication and scientific publication


Required skills:

  • Strong background in ML/DL applied to medical imaging(image classification, segmentation, or detection) and with Deep learning frameworks (ideally Tensorflow/Keras)

  • Scientific writing and publications in ML/DL and 

  • Project management skills, with the ability to lead a team and work collaboratively with other departments and clinicians

  • Experience in data collection and structuration 

  • Communication and presentation skills

  • Proficiency in English

Desired skills:

  • Clinical research Background

  • Familiar with regulatory compliance for medical devices (notably ISO 13485 and IEC 62304)

  • Experience with transformers and DL for videos

Your application should include the following:

  • a short introduction including your avaibility

  • CV

To be sent to
Please reach out if you have any questions!

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