IA pour améliorer le dépistage et diagnostic prénatal.
Sonio’s mission is to improve detection, diagnosis and care of congenital malformations, thus improving parents’ journey throughout pregnancy, enabling better outcomes for the future baby, reducing liability for physicians and reducing healthcare costs.
Today, Sonio develops an AI-enabled software, used by sonographers and ob/gyns during fetal ultrasound examination to improve their diagnostic performance. Sonio’s first product, Sonio Diagnostics, is an intelligent decision tree, using only inputs from practitioners and real-time computing multiple type of data to guide towards the next most probable sign and diagnosis. We help diagnose benign anomalies as well as rare diseases. Our everyday motivation is to see our technology improve the daily routine of physicians and daily life of future moms and children all around the world.
Our team is our main asset, mixing strong expertise, complementary skills with creative, optimistic and voluntarist spirit. CEO and CSO cofounded Sonio with 3 expert obgyns from Hopital Necker and 2 datascience experts from Ecole Polytechnique. Thanks to our fundraising, we had the chance to hire an extraordinary leadership team (CTO, Business Developer, Product Manager) and work with a fantastic team of developers, UX-designers, clinical affairs and marketing experts.
In just a year, we’ve moved from a research project to an ambitious startup launched full speed to rapidly reach its first milestones: 1st product finalized and CE mark in May 2021, FDA approval and first sales in 2022, ambitious product roadmap and new R&D projects.
We believe that team matters above all things. We want to create a balanced culture, valuing operational excellence as much as commitment to our mission. We want to create a place where everybody is thrilled to come to work and succeed professionally.
Our strategy is to grow fast and become an international standard of care for prenatal diagnosis.
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 careers@sonio.ai.
En bref
Année de création
2020
Nombre d'employés
90
Âge moyen
33
Genre
55%
45%