Data Science Intern

il y a 1 semaine

Paris, France Sonio Temps plein

**About Sonio**:
Each year, 140M children are born. Birth defects affect 1 in 33 births in developed countries, and in 50% of cases, they are not detected during prenatal examinations. Prenatal medicine is particularly complex, and the scans impose heavy responsibilities on healthcare professionals. They can also be a source of stress for future parents.

Resulting from 5 years of collaboration between world-renowned experts from Necker Hospital and Ecole Polytechnique, Sonio uses artificial intelligence to improve prenatal screening and diagnosis. Based on patented algorithms and a proprietary expert database, Sonio aims to become the reference tool to help practitioners improve screening, reduce diagnostic errors, and optimize pregnant women’s medical path.

Sonio's mission is to improve women's and children's health by promoting access and quality of care through technological innovation, medical expertise, and collective intelligence.

**About the role**

We are seeking a highly motivated and talented intern to contribute to a project focused on the development of a deep learning foundation model for ultrasound imaging. The goal is to build a versatile deep learning model that can be fine-tuned and applied across a variety of downstream tasks, with a particular focus on medical image segmentation.
- ** Model Development**: Implement a deep learning foundation model, with architectures like CNNs, Transformers, or other state-of-the-art networks suitable for ultrasound data.
- ** Benchmarking**: Compare the foundation model’s performance against existing models for ultrasound segmentation tasks.

**About the profil**
- ** Educational Background**: Currently pursuing a master’s degree in Computer Science
- ** Technical Skills**:

- Strong knowledge of Pytorch
- Experience with image processing and computer vision tasks.
- Familiarity with medical imaging is a plus.
- Proficiency in Python and data handling libraries
- Proficiency in SQL
- ** Research Mindset**: Strong interest in applied research and innovation in healthcare AI.

Location : Paris

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