Data Analysis and Data Science Internship
Job summary
Internship
Paris
Salary: Not specified
A few days at home
Skills & expertise
Generated content
Sql
Python
Questions and answers about the job
The position
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
We are seeking a highly motivated and talented intern to contribute to many internal data analysis and data science projects. The goal is to reinforce our data analysis and data science to improve our AI offerings and have a significant impact on business strategies.
The intern will work with many people from various teams: data science, data analytics, and product. It will provide valuable hands-on experience in applying data analytics for the betterment of an innovative product.
Key Responsibilities:
Diagnosis codes identification: identify links between free-text reports and reimbursement codes indicated.
Patient pathway: analyse on a micro and macro level the different pathways of pregnancy e.g. frequency of exams, number of follow-ups, number of views, and anatomical structures checked.
Database exploration: We have millions of images and videos, but few are annotated due to a lack of time. We are looking to get insights on what those not annotated images and videos present: gynaecological cases, pediatric cases...
Collaboration and reading US images: Work with domain experts to understand clinical applications and learn how to read US Images (you’ll be trained, don’t worry!).
About the profile:
Sonio is a mission-driven company, so interest in our mission is critical. Other requirements are:
Educational Background: Currently pursuing a master’s degree in Computer Science or Statistics, or equivalent
Technical Skills:
Strong proficiency in Python and data handling libraries (R is OK)
Strong proficiency in SQL
Experience with image processing and computer vision tasks is a plus
Research Mindset: Strong interest in data analysis and healthcare.
Location: Paris
Start date: after the 15 of September
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.
Preferred experience
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
We are seeking a highly motivated and talented intern to contribute to many internal data analysis and data science projects. The goal is to reinforce our data analysis and data science to improve our AI offerings and have a significant impact on business strategies.
The intern will work with many people from various teams: data science, data analytics, and product. It will provide valuable hands-on experience in applying data analytics for the betterment of an innovative product.
Key Responsibilities:
Diagnosis codes identification: identify links between free-text reports and reimbursement codes indicated.
Patient pathway: analyse on a micro and macro level the different pathways of pregnancy e.g. frequency of exams, number of follow-ups, number of views, and anatomical structures checked.
Database exploration: We have millions of images and videos, but few are annotated due to a lack of time. We are looking to get insights on what those not annotated images and videos present: gynaecological cases, pediatric cases...
Collaboration and reading US images: Work with domain experts to understand clinical applications and learn how to read US Images (you’ll be trained, don’t worry!).
About the profile:
Sonio is a mission-driven company, so interest in our mission is critical. Other requirements are:
Educational Background: Currently pursuing a master’s degree in Computer Science or Statistics, or equivalent
Technical Skills:
Strong proficiency in Python and data handling libraries (R is OK)
Strong proficiency in SQL
Experience with image processing and computer vision tasks is a plus
Research Mindset: Strong interest in data analysis and healthcare.
Location: Paris
Start date: after the 15 of September
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.
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Découvrez Sonio avec Vianney, Head of Machine Learning
Découvrez Sonio avec Cécile, CEO
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