Clinical Data Analyst intern
Paris, Ile-de-France, France
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingAre you passionate about data women's and fetal medicine?
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.
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.
From the employer’s posting
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.
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:
Tools in this posting
- Python
- SQL
- Excel
Source — Tool mentions in context
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 :
- 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
About Sonio AG
Sonio is a mission-driven company, so a genuine interest in our mission — improving fetal and maternal health through AI — is essential.
In the employer’s words · Read in context
Job description
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris, Ile-de-France, France
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Aug 28, 2026
- Recorded sightings
- 13
- Last seen by us
- Oct 9, 2026
- Employer says posted
- Aug 26, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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