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Data Analysis and Data Science Internship - healthcare

About

Chaque année, 140M d’enfants viennent au monde. Les anomalies congénitales concernent 1 naissance sur 33 dans les pays développés, et dans 50% des cas, elles ne sont pas détectées à l’échographie. De fait, la médecine prénatale est une discipline particulièrement complexe, et les examens sont lourds de responsabilité pour les échographistes. Ils peuvent aussi être source de stress pour les futurs parents.

Riche de plus 5 ans de collaboration entre les experts mondialement reconnus de l’Hôpital Necker et de l’Ecole Polytechnique, Sonio utilise l’intelligence artificielle pour améliorer le dépistage et diagnostic prénatal. Fondée sur des algorithmes brevetés et une base de données experte propriétaire, Sonio veut devenir l’outil de référence pour aider les échographistes à améliorer le dépistage, diminuer les erreurs diagnostiques, et ainsi optimiser le parcours de soin des patients.

Sonio s’est donné pour mission d’améliorer la santé de la femme et de l’enfant en favorisant l’accès et la qualité des soins, par l’innovation technologique, l’expertise médicale et l’intelligence collective.

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

    • You have done a first internship or professional experience

    • It's a plus if it's related to healthcare or you have a strong interest in that area,

  • 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

    • You have done a first internship or professional experience

    • It's a plus if it's related to healthcare or you have a strong interest in that area,

  • 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.

Additional Information

  • Contract Type: Internship
  • Location: Paris
  • Possible partial remote
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