Part-time Medical Expert - MFM
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Sonio
US
Summary
Contribute medical expertise to the development of the next generation of AI software for prenatal screening and anomaly detection. Participate in weekly team rituals and provide clinical guidance to the R&D team.
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 opportunity
We are looking for US-based MFM passionate about advancing fetal medicine through AI to bring expertise to our building, the next generation of AI software at Sonio
We are looking for someone who can contribute at least 1 day a week, with some flexibility, and who still maintains a clinical practice.
You'll be joining the team that is actively building anomaly detection, you'll join their weekly rituals and be fully part of the team, not just acting as an external advisor.
About the profile
Ideally, we are looking for:
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MD and MFM board-certified, and ideally either FACOG or FAIUM certification
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You are based in the US with a strong understanding of the US prenatal healthcare landscape
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You have at least some clinical experience in private practice, and ideally in various set-ups, including remote reading
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You have experience with software, ideally AI (e.g., purchasing it, rolling it out, etc.).
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Strong plus if you already have experience as a clinical advisor for a software team
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 [email protected].
Sonio, a wholly-owned subsidiary of Samsung Medison Co., Ltd since 2024, is a highly customizable workflow and practice management solution powered by AI for automation, efficiency, and quality control. "Sonio AI-enhanced¹ software empowers ultrasound practitioners and readers. Sonio assists them in performing every prenatal examination to their highest quality standards, ensuring the completeness of each examination, streamlining their workflow, and in prenatal diagnosis. Sonio is based on over five years of research and collaboration between leading experts in fetal medicine and AI.
¹AI-enhancement is provided by FDA 510(k) cleared Sonio Detect product
* Applicable to V1 only, Data enclosed at Sonio
**See table 6 in the 510k summary: https://www.accessdata.fda.gov/cdrh_docs/pdf24/K240406.pdf
Founded
1988
Company size
51-200 employees
Industry
Software Development
Org type
Public Company
Headquarters
Wallisellen, Zurich
Sonio, a wholly-owned subsidiary of Samsung Medison Co., Ltd since 2024, is a highly customizable workflow and practice management solution powered by AI for automation, efficiency, and quality control. "Sonio AI-enhanced¹ software empowers ultrasound practitioners and readers. Sonio assists them in performing every prenatal examination to their highest quality standards, ensuring the completeness of each examination, streamlining their workflow, and in prenatal diagnosis. Sonio is based on over five years of research and collaboration between leading experts in fetal medicine and AI.
¹AI-enhancement is provided by FDA 510(k) cleared Sonio Detect product
* Applicable to V1 only, Data enclosed at Sonio
**See table 6 in the 510k summary: https://www.accessdata.fda.gov/cdrh_docs/pdf24/K240406.pdf
Founded
1988
Company size
51-200 employees
Industry
Software Development
Org type
Public Company
Headquarters
Wallisellen, Zurich