Clinical Data Analyst intern

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.

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

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