Raidium
The Full-stack Software Engineer at Raidium will develop and maintain both front-end and back-end components of the product, integrating machine learning models and handling radiological images. The role involves collaborating with ML engineers, building scalable infrastructure, and ensuring code quality within the R&D team.
Raidium has developed a radiological foundation model — described as the "GPT" of radiology — and an AI-native platform that embeds that model into imaging workflows. The technology creates scalable imaging biomarkers for both clinical practice and research, with an initial focus on clinical-trial endpoints such as RECIST in oncology. By combining an AI-native PACS viewer and centralized biomarker generation, Raidium aims to unify disparate AI tools, simplify radiology workflows, and accelerate precision-medicine use cases for radiologists, researchers, and trial sponsors.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Raidium.
Raidium didn’t post a salary, so this is our estimate from similar listings.
21% above the average for this role
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