--- title: 'Spontaneous Application at Raidium' canonical: 'https://feeny.ai/job/spontaneous-application-raidium-dc3rj09y44k8' type: 'job' last_seen: '2026-09-10' --- # Spontaneous Application at Raidium - **Company:** Raidium - **Work type:** onsite - **Posted:** 2024-10-17 - **Last confirmed live:** 2026-09-10 - **Apply:** https://jobs.lever.co/raidium/04005ea5-3fc5-4609-9acc-fb1def72afcc ## Job description Raidium is at the forefront of radiological AI, creating cutting-edge solutions that revolutionize precision medicine. Our mission is to develop AI-powered imaging technologies that transform clinical practice and research. Our team is composed of experts in radiology, machine learning, and data science, and we’re always on the lookout for passionate, talented individuals to join us as we continue to grow. Whether your expertise is in software development, operations, R&D, or something else, we encourage you to apply. ## What We Look For - Software Engineering: Help develop the cutting-edge technologies that power our AI-driven radiology solutions. - Machine Learning / Data Science: Join our R&D team to push the boundaries of AI applications in healthcare. - Operations & Office Management: Support the day-to-day running of Raidium and help us scale as we grow. - Marketing & Communications: Help us tell the story of our mission and engage the healthcare and tech communities. - Regulatory Affairs: Ensure that our products comply with industry standards and regulations. - Business Development & Strategy: Drive partnerships and growth strategies as we expand our reach. ## Why Join Us - Have a real and positive impact on people's lives - Apply and improve the latest Deep Learning technologies to build an inspiring product - Be in contact with radiologists in our partner center - Be among the first employees of Raidium - Work with a team of internationally recognized experts - Work with a diverse team of engineers and medical doctors - Competitive salary ## About Raidium ## Company Overview - **One-liner**: Raidium builds an AI-native interactive platform that uses foundation models to advance precision radiology, enabling radiologists to detect lesions, generate RECIST-ready reports, and accelerate clinical workflows. - **Entity Type**: Private (Seed stage; $22.1M total funding including grant and venture rounds) - **Headquarters**: Paris, France - **Founded**: 2022 - **Founders**: Paul Hérent (MD, MSc, CEO) and Pierre Manceron (MSc, CSO) ## Core Business - Primary industry: Medical imaging AI / Healthcare IT - Target customers: Radiologists, hospitals, clinical research organizations (B2B, Enterprise) - Mission: To democratize precision radiology by embedding state-of-the-art foundation models directly into radiologists’ existing workflows, reducing manual context-switching and improving patient outcomes. ## Products & Services - **[Raidium Read](https://raidium.eu/about-us/)**: AI-native viewer for oncology that detects solid tumors, new lesions, and incidental findings; segments organs and lesions; and produces structured RECIST 1.1–ready reports within a single interface. (SaaS / Software) - **[Jolia](https://linkedin.com/company/raidium)**: Vision-language foundation model for chest and abdominal CT, trained on 74,434 CT–report pairs using the ConQuer alignment method. Achieves state-of-the-art findings classification (77.05% average AUROC) and abdominal CT report generation (+34% relative gain on RadGraph-F1). (Foundation model / API) - **[ONCOPILOT](https://raidium.eu/about-us/)**: AI model for automated solid tumor evaluation, delivering radiologist-level precision in RECIST 1.1 measurements and reducing variability. (AI model) ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of $22.1M (including a €16M seed round co-led by Kurma Partners and Newfund, a €2.5M EIC Accelerator grant, and other rounds) - **Notable Investors/Partners**: Kurma Partners, Newfund, Galion.exe, Founders Future, Debiopharm, Techmind, European Innovation Council (EIC), Bpifrance, Inria, Microsoft (via GenAI Studio), Centre d’Imagerie du Nord - **Growth Signals**: 43 employees (+82.1% YoY); named laureate of France 2030 “Pionniers de l’IA” program; winner of Microsoft GenAI Studio; selected for the IA-ction deeptech accelerator; won the “AI for Health” Challenge (€600K) from Île-de-France Region. ## Competitive Advantages - Proprietary foundation models (Curia for structural understanding, Jolia for vision-language) trained on large, diverse datasets. - First AI-native PACS viewer that integrates detection, segmentation, and structured reporting into one semi-automated workflow — avoiding the “tool trap” of fragmented point solutions. - Strong sovereign AI positioning (French government backing, partnerships with Inria and Bpifrance). - Access to large retrospective real-world datasets via hospital partnerships. ## Strategic Focus - Deploy Raidium Read to market and scale commercial adoption. - Continue advancing foundation model capabilities (e.g., Jolia, ONCOPILOT) for broader clinical applications. - Grow the team across research, engineering, and clinical deployment roles. - Expand partnerships with industrial and academic biomarker research projects. ## Why Work Here - **Culture**: Mission-driven team passionate about transforming radiology with AI; described as “cutting-edge” and “sovereign” technology environment. - **Work policy**: Hybrid and on-site options available in Paris (roles like Clinical Account Manager are hybrid; some positions are on-site). - **Notable perks**: Part of high-profile national AI initiatives (France 2030, Microsoft GenAI Studio); opportunity to work on state-of-the-art foundation models with direct clinical impact. - **Engineering culture**: Strong research focus (13 researchers out of 43 employees), with backgrounds from Inria, Owkin, Cardiologs, and top universities. Flat hierarchy (C-level, founders, heads) with room for growth. ## Sources 1. [linkedin.com](https://linkedin.com/company/raidium) 2. [raidium.eu](https://raidium.eu/about-us/) 3. [jobs.lever.co](https://jobs.lever.co/raidium) 4. 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