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About the Role
We are building next-generation products that provide real-time assistance to practitioners during fetal ultrasound examinations. This involves creating systems that interface with ultrasound machines, stream imaging data to the cloud, interpret data and images using AI/ML, and deliver results to the practitioner's interface in near real-time. You will focus on integrating with healthcare information systems (EHR) and interconnecting with ultrasound machines, including scaling data ingestion systems and refactoring DICOM data ingestion.
Responsibilities
- Work on how Sonio connects with the outside world
- Integration with healthcare information systems (EHR)
- Interconnection with ultrasound machines
- Scaling data ingestion systems
- Refactoring how DICOM data is ingested into the system
Requirements
- 8-10 years of software engineering experience
- Strong system design skills
- Experience with a data ingestion system fed by machines (industrial, IoT, or similar distributed machines)
- Appetite for infrastructure and data ingestion problems
- Customer-oriented and user-centric
- Comfortable talking with clients and non-technical people
- Willingness to travel on-site in the US from time to time
- Fluent in English
- Start-up or scale-up experience is a big plus
Skills
- System design
- Data ingestion systems
- Infrastructure
- Python
- Ruby
- Go
- Javascript
- Rust
- Elixir
- Java
- C
- C++
Location
- Paris
Work Type
- On-site (for travel to US)
Experience Level
- 8-10 years
Salary/Compensations
- 75-85k + 10%
About the Company
- 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.