---
title: 'Clinical Data Analyst intern at Sonio'
canonical: 'https://feeny.ai/job/clinical-data-analyst-intern-sonio-paris-j3t3d39r76jw'
type: 'job'
last_seen: '2026-10-15'
---

# Clinical Data Analyst intern at Sonio

- **Company:** Sonio
- **Location:** Paris, France
- **Employment:** internship
- **Work type:** hybrid
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/sonio/c2a4c162-9e39-4fc7-9de9-49e03536a121

## Job description

## 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: 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.

## About Sonio

## Company Overview
- **One-liner**: Sonio is an AI-powered cloud-native platform that standardizes and automates fetal ultrasound workflows for OB-GYN practices to improve maternal and children’s health.
- **Entity Type**: Private (acquired by Samsung Medison in September 2024)
- **Headquarters**: Paris, France (147 Rue d'Aboukir, 75002 Paris); additional offices in Boston, MA and New York, NY
- **Founded**: 2020
- **Founders**: Cécile Brosset (CEO and co-founder)

## Core Business
- **Primary industry**: Healthcare IT / MedTech (focused on prenatal care and diagnostic imaging)
- **Target customers**: B2B; OB-GYN practices, Maternal-Fetal Medicine (MFM) specialists, sonographers, clinical executives, and hospital IT teams
- **Mission/purpose statement**: “Give access to high-quality prenatal care everywhere” – the company aims to empower healthcare professionals to deliver high-quality prenatal care through technological innovation, medical expertise, and collective intelligence.

## Products & Services
- **Sonio Platform (Core)**: A secure, cloud-native, AI-powered* software platform that automates and standardizes fetal ultrasound workflows from image acquisition and reporting to quality review and billing.
- **Sonio Detect (AI Module)**: An FDA 510(k) cleared and CE-marked AI module that combines image analysis and OCR neural networks to provide real-time feedback on exam image quality and completeness.
- **Image Management**: Organize, measure, and annotate ultrasound images and videos; automatic sorting of views and images.
- **Reporting**: Automated report generation with population of fields based on ultrasound findings; share reports via fax or secure patient app.
- **Practice Analytics**: Dashboards and insights into practice performance for informed decision-making and personalized training plans.
- **Billing Integration**: CPT & ICD10 coding, integrated billing and charge capture, DFT interface support.
- **Integrations**: Compatible with all ultrasound machine manufacturers; integrates with EHR (HL7, FHIR), PACS/VNA, DICOM worklist, IMO, LOINC, and eFAX.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed as an independent entity; acquired by Samsung Medison in September 2024 (terms not publicly disclosed).
- **Key Metric**: Total disclosed funding of €28M prior to acquisition (€5M seed in June 2022, €10M EIC Accelerator in January 2023, €13M Series A in July 2023).
- **Notable Investors/Partners**: Samsung Medison (acquirer), European Innovation Council (EIC Accelerator), and prior Series A investors.
- **Growth Signals**: 
  - Acquired by Samsung Medison in September 2024 — a major strategic exit and validation of the technology.
  - FDA 510(k) clearance for Sonio Detect (July 2023).
  - Offices in three major hubs (Paris, Boston, New York).
  - 75 total employees as of latest data.
  - Expanding AI capabilities in collaboration with Samsung Medison, targeting global prenatal care transformation.

## Competitive Advantages
- **Regulatory Moat**: FDA 510(k) cleared and CE-marked AI modules — a significant barrier to entry in medical software.
- **Strategic Backing**: Acquired by Samsung Medison, providing deep resources, global distribution, and integration with ultrasound hardware.
- **Full Workflow Coverage**: Only platform that spans image acquisition, AI-assisted quality control, reporting, analytics, and billing in one cloud-native solution.
- **Security & Compliance**: HIPAA/HITECH, EU-GDPR, SOC2 Type 2, ISO 13485, and HDS certified — enterprise-ready.
- **Vendor Agnostic**: Compatible with all ultrasound machine manufacturers, not locked to any single hardware ecosystem.

## Strategic Focus
- **Global Expansion**: Leveraging Samsung Medison’s global reach to scale prenatal AI solutions worldwide.
- **Deepening AI Capabilities**: Continued development of AI for image analysis and clinical decision support in obstetrics and gynecology.
- **Women’s & Children’s Health**: Expanding beyond fetal ultrasound into broader maternal and pediatric health applications.
- **Integration & Interoperability**: Enhancing seamless connections with EHRs, PACS, and billing systems to reduce clinical burden.

## Why Work Here
- **Mission-Driven**: Direct impact on maternal and children’s health — reducing missed birth defects and improving prenatal care quality globally.
- **Workplace Policy**: Hybrid workspace (combination of remote and on-site work); offices in Paris (HQ), Boston, and New York.
- **Engineering Culture**: Focus on cloud-native architecture, AI/ML, security, and regulatory compliance — challenging technical environment.
- **Growth Stage**: Recently acquired by Samsung Medison, offering the stability of a large parent company with the agility of a startup culture.
- **Notable Perks**: Relocation support available (e.g., Senior Clinical & AI Product Manager role includes Korean speaking and relocation support); automatic software updates and zero maintenance costs for clients reflect a modern DevOps approach.
- **Team Size**: ~75 employees — intimate, collaborative environment.

## Sources
1. [sonio.ai](https://www.sonio.ai/)
2. [sonio.ai/about-us](https://www.sonio.ai/about-us)
3. [linkedin.com/company/sonio](https://www.linkedin.com/company/sonio)
4. [builtin.com/company/sonio](https://builtin.com/company/sonio)
5. [jobs.ashbyhq.com/Sonio](https://jobs.ashbyhq.com/Sonio)

## Other roles at Sonio

- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-sonio-paris-xh39zh5n3tm4) — Paris, France
- [QA Manager](https://feeny.ai/job/qa-manager-sonio-paris-358qwxfsh8y4) — Paris, France
- [Director of Clinical Affairs](https://feeny.ai/job/director-of-clinical-affairs-sonio-boston-fyth9s7cett8) — Boston, MA
- [Spontaneous application](https://feeny.ai/job/spontaneous-application-sonio-paris-gr72s0z5g8ct) — Paris, France