S

Sonio

AI-powered fetal ultrasound software for diagnosis

Clinical Data Analyst Intern

Winter 2026
No salary listed
Internship
Master's
Île-de-France, France
HybridOccasional travel in France and abroad is required.

About the job

Requirements
  • A genuine interest in improving fetal and maternal health through artificial intelligence.
  • Currently completing a master's degree in data science, biostatistics, biomedical engineering, or a related field.
  • Proficiency in SQL and Python for data analysis, with prior internship experience in data analysis.
  • A solid understanding of statistical methods.
  • Comfort engaging with clinical and scientific content.
  • Fluency in both French and English.
Responsibilities
  • 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 preparing scientific abstracts and manuscripts, including structured literature reviews and data summaries.
  • Clean, structure, and manage datasets using Python, SQL, and Excel.
Desired Qualifications
  • Eagerness to learn and curiosity about new tools.

About the company

Sonio develops AI-based fetal ultrasound software to assist clinicians in analyzing prenatal ultrasound images and diagnosing congenital malformations. The software blends ultrasound semiology with patient medical history, genetic and biological data to provide decision support and guide physicians toward the most likely diagnosis, while also assisting sonographers during prenatal screening scans. It integrates into clinical workflows to deliver timely insights for healthcare providers and support for mothers and their babies. Unlike tools that rely on a single data type, Sonio combines multiple sources of information to help practitioners interpret scans more accurately and efficiently. The company’s goal is to improve the accuracy and speed of fetal anomaly screening and enhance maternal-fetal health outcomes.

Company Size

51-200

Company Stage

Acquired

Total Funding

$19.5M

Headquarters

Paris, France

Founded

2020

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Simplify's Take

What believers are saying

  • Sonio Voice launched January 2025, automating ultrasound reporting and reducing transcription burden.
  • Sonio Detect v3 targets 65% ISUOG and AIUM coverage, with 100% next-release roadmap.
  • Sonio reported French AI-powered reporting rollout and CE mark expansion in 2024-2026.

What critics are saying

  • Reuters reported a June 2025 FDA complaint alleging Sonio Detect misidentified fetal body parts.
  • Sonio still says Detect v3 integration is underway, delaying revenue and adoption.
  • Samsung control makes Sonio dependent on Medison’s priorities; integration failures erase independence by 2027.

What makes Sonio unique

  • Sonio Detect v3, cleared March 16, 2026, detects 58 anatomical structures across trimesters.
  • Samsung Medison ownership since September 2024 gives Sonio distribution, capital, and hardware adjacency.
  • Pediatrix deployed Sonio in January 2024, proving U.S. workflow value across 100 clinics.

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Benefits

Hybrid Work Options

Flexible Work Hours

Growth & Insights and Company News

Headcount

6 month growth

↑ 17%

1 year growth

↑ 17%

2 year growth

↑ 15%
Sonio
Mar 25th, 2026
Sonio announces FDA clearance of the 3rd version of Sonio Detect.

Sonio announces FDA clearance of the 3rd version of Sonio Detect. Sonio SAS is thrilled to share that its revolutionary AI-powered solution, the third version of Sonio Detect, has received FDA 510(k) clearance. Sonio Detect is designed to ensure high-quality exams by automatically detecting views and anatomical structures, and verifying quality criteria of ultrasound images. Efficient workflows, quality assurance and anomaly detection have been its top priorities since founding Sonio. Today, Sonio SAS is reenforcing its commitment to Quality Assurance with the FDA clearance of the third version of Sonio Detect, which expanded the scope of its AI-powered image evaluation. What's new in Detect v3. Sonio Detect v3 introduces several new capabilities: * Expanded scope of automatically detected views: it detects 14 T1 views with 88.6% sensitivity and 98.1% specificity; and 40 T2/T3 views with 90.1% sensitivity and 99.3% specificity * Expanded scope of ISUOG/AIUM guidelines % coverage: Detect v3 now covers up to 65% of ISUOG and 65% AIUM T2/T3 detailed exam protocols without manual annotation, with a target roadmap set to cover 100% by next release * Expanded scope of automatically detected structures: while maintaining performance in detecting Brain and Thorax/Heart structures at T2/T3, scope has expanded to include 58 anatomical structures (15 at T1 and 43 at T2/T3) over various anatomical regions: brain, face, profile, thorax, heart, and placenta * Automatic localization of specific structures on the image to provide users more context on what AI detected * As with with Detect v2, Detect v3 continues to automatically detect placenta location and fetus sex The integration of Sonio Detect V3 into its platform is currently underway. While Sonio SAS is excited to bring these enhanced capabilities to its users in the coming months, Sonio SAS is committed to ensuring a seamless rollout and will share specific timing as soon as it's confirmed. Empowering quality care through ai-powered ultrasound. Sonio is an advanced AI-powered ultrasound reporting solution that standardizes fetal ultrasound quality through AIUM or site-specific templates, automated reporting, and intelligent quality checks. With customizable protocols, finding-based reporting templates, and clinical decision support features, the platform empowers healthcare providers to deliver consistent, high-quality care. Sonio gives both physicians and sonographers confidence in their daily practice while supporting liability and risk management. Sonio is designed to support practices in efforts to reduce avoidable errors, align exams with protocols, improve report coherence for smoother review, and reduce inter-sonographer variability. By automating repetitive tasks such as data entry and report generation, the solution is built to streamline workflows and free up valuable time for patient care, while providing objective signals to upskill sonographers over time. Its ambition is to bridge the gap between structure, view detection, and anomaly detection to improve both screening and diagnosis in the near future. Ready to improve your patient care? Contact Sonio SAS and discover Sonio, the next-generation of Prenatal Ultrasounds.

HIT Consultant
Aug 25th, 2025
Sonio Launches New AI-Powered Product Suite to Enhance Maternal Healthcare in the U.S.

Sonio launches new ai-powered product suite to enhance maternal healthcare in the U.S.

Femtech Insider
May 29th, 2025
The Future of Ultrasound Reporting: How AI and Portability Are Transforming Prenatal Care

Established in 2020 to enhance women and children's health globally through medical advancements, Sonio has developed IT solutions and AI assistant features for obstetrics and gynecology ultrasound that assist medical professionals in the evaluation and documentation of ultrasound exams.

Sonio
Feb 27th, 2025
Sonio Showcases AI Innovations at SMFM Annual Pregnancy Meeting 2025

Sonio showcases AI innovations at SMFM Annual Pregnancy Meeting 2025.

HIT Consultant
Jan 27th, 2025
Sonio Launches AI-Powered Voice Recognition for Ultrasound Reporting

- Sonio, a global provider of AI-driven medical technology innovation announced the launch of Sonio Voice, a cutting-edge voice recognition solution designed to revolutionize ultrasound reporting in obstetrics and gynecology (OB-GYN) practices.