Sonio
Data Scientist
1mo ago
EuropeRemotepythonmachine learningdata curationmodel trainingerror analysis
Work on AI components for prenatal screening and diagnosis to detect severe fetal anomalies.
Responsibilities
- This role is a chance to work on a high-impact, clinically meaningful product: you will contribute directly to the detection of severe fetal anomalies. You will join a cross-functional team and have real influence on what ships and how it performs.
- You will own the end-to-end delivery of AI components, from data curation and model training to evaluation, error analysis, and iterative improvements in production.
- You will also join at a pivotal moment in our algorithm development, with the opportunity to take a project from value definition all the way to day-to-day use by clinicians.
Other
- 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.
- Sonio is a mission-driven company — genuine interest in our mission and in meaningful clinical AI applications is essential. We’re looking for someone who is hands-on, curious, and eager to learn fast. Requirements:
- 1-2 years of professional experience (including internships) is ideal, but we’re open to strong candidates who feel this role is a good fit.
- Practical ML experience: you can implement, run, and iterate quickly on AI/ML components (not only design ideas). Experience with medical imaging and/or computer vision is a big plus.
- Strong Python skills: you follow good practices, write clean code, and are comfortable writing tests. SQL is a plus (or strong willingness to learn).
- Strong analytical and debugging instincts: you can identify what drives model performance, run solid error analysis, and propose a clear action plan.
- Clear communication: you can explain technical results, risks, and limitations to non-technical stakeholders (e.g. product, clinicians).
- Comfortable with ambiguity and autonomy; you take initiative and drive work forward.
- Master’s degree (minimum) in AI, Computer Vision, Biomedical Engineering (or equivalent proven experience).
- Bonus: experience with AI coding tools (e.g. Claude Code) or motivation to adopt them quickly.
- Localisation: Paris office or remote in France
- Salary: €45k - €55k + 10%
- We move fast and aspire to be transparent over the process - our objective is that the process from the first chat to an offer is no longer than a month. We also aspire to give an answer to every application in a week - if you have not heard from us, please follow up at