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:
Are you passionate about data women's and fetal medicine? Join our clinical team for an internship that will give you hands-on exposure to clinical data analysis within an AI-powered health-tech company.
You will work closely with our clinical and data teams on real studies that directly support the development and validation of our AI solutions for fetal and maternal health.
Your missions:
Analyze clinical data using SQL and Python to support ongoing research studies
Help define and compute statistical endpoints on cohorts of ultrasound exams
Contribute to the preparation of scientific abstracts and manuscripts, including structured literature reviews and data summaries
Clean, structure and manage datasets using Python, SQL and Excel
About the profile :
Sonio is a mission-driven company, so a genuine interest in our mission — improving fetal and maternal health through AI — is essential. Beyond that, we're looking for someone who:
Is completing a master's in data science, biostatistics, biomedical engineering, or a related field
Is proficient in SQL and Python for data analysis and has already completed an internship in data analysis
Has a solid understanding of statistical methods
Is eager to learn and curious about new tools
Is comfortable engaging with clinical and scientific content
Is fluent in both French and English
Why join us
You will work on real clinical studies with direct impact on the development of our AI models. You will be exposed to the full lifecycle of a clinical study — from data preparation to publication — within a fast-moving, mission-driven team at the intersection of medicine and technology.
Location: Paris, with occasional travel in France and abroad
Start Date: asap
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 [email protected].
Skills Required
- Currently completing a master's degree in data science, biostatistics, biomedical engineering, or a related field
- Proficiency in SQL and Python for data analysis
- Previous internship in data analysis
- Solid understanding of statistical methods
- Fluency in French and English
- Comfort engaging with clinical and scientific content
- Genuine interest in improving fetal and maternal health through AI
- Eagerness to learn and curiosity about new tools
What We Do
Sonio is a cloud-based software company that utilizes clinical AI to provide ultrasound reporting for OB-GYN practices, aiming to improve maternal and children's health by enhancing the quality and accessibility of prenatal care.
