Raidium is building a foundation Model for precision medicine in radiology. Our first release, Curia is already state of the art. We aim to broadly democratize access to imaging biomarkers for both clinical and research applications through a biomarker factory. Our model is embedded in a new type of solution for the radiologist that enables a revolutionary AI-native workflow. Thanks to a 16M€ seed round raised in November 2024, Raidium is expanding its team.
We are developing a medical device designed to operate at the intersection of deep learning and diagnostic precision. While our Quality Management System (QMS) is already established and operational, we are now entering a critical phase of our growth. We have initiated the formal regulatory pathways (MDR/FDA) to bring our AI-native solutions to the global market.
The founders of Raidium are experts in radiology and machine learning from Owkin, bringing together extensive experience from both fields.
Our team brings together strong academic foundations (Polytechnique, Ponts, MVA) and deep medical, AI, and business experience from leading medical and tech companies such as Owkin, Cardiologs, Datadog, and Meta, all united by a mission to revolutionize radiology through cutting-edge technology.
As the Head of QARA at Raidium, you will play a pivotal role in defining our regulatory strategy and ensuring our AI-native solutions meet the highest standards of safety and excellence.
At least 3 years of experience in Regulatory Affairs and Quality Assurance within the medical device industry.
Master’s degree in Life Sciences, Engineering, Law, or a related technical field.
Solid track record with Medical Device regulations, specifically MDR (EU) and/or FDA (US) submissions.
Experience with ISO 13485, including maintaining or auditing a Quality Management System.
Willingness to work in the AI-healthcare industry, with a passion for software-as-a-medical-device (SaMD).
Authorization to work in France and willing to come to the office (2 days remote policy).
Fluency in English, with excellent communication and teamwork skills.
Experience with AI/ML specific regulations (e.g., AI Act or FDA AI frameworks).
Familiarity with software standards
Previous experience in a start-up or scale-up environment.
Experience managing or mentoring junior staff.
Knowledge of Radiology workflows or DICOM standards.

Building the radiology AGI