Clinical Data Analyst intern

OneRagtime; Paris; Sur place; EUR 13 000 - 20 000; Plein temps

Résumé du poste

Sonio, a fast‑moving health‑tech company in Paris, invites a data science intern to join the clinical team. You will gain hands-on exposure to clinical data analysis within an AI-powered setting focused on fetal and maternal health.

You will collaborate with clinical and data teams on real studies, contributing to development and validation of AI solutions. Start date ASAP with opportunities across France and abroad.

Qualifications

• Master's in data science, biostatistics, biomedical engineering, or related field.
• Proficient in SQL and Python for data analysis; internship in data analysis completed.
• Solid understanding of statistical methods.
• Fluent in French and English.
• Experience engaging with clinical and scientific content.

Responsabilités

• Analyze clinical data using SQL and Python to support ongoing studies
• Define and compute statistical endpoints on cohorts of ultrasound exams
• Prepare scientific abstracts and manuscripts, including literature reviews and data summaries
• Clean, structure and manage datasets using Python, SQL and Excel

Connaissances

SQL

Python

Statistics

Formation

Master's in data science

Biostatistics

Outils

Excel

Description du poste

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.

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.

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

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.