Process Design

Why this internship As Raidium deploys its AI-native viewer in more hospitals across Europe and the US, every radiologist and hospital IT team we work with needs fast, reliable answers. Your mission is to build the support function that makes this possible at scale: a structured, compliant process, smart automations and clear KPIs, so that every request is tracked and answered on time. You will join the Clinical Solutions team, the customer-facing team that deploys Raidium in hospitals and works with radiologists and hospital IT teams day to day. Building the support function is your main focus and internship deliverable, but you will be a full member of the team: taking part in its daily life, giving a hand on deployments and partner requests when needed, and helping improve our processes in general. \n In practice: A Key Role at the Heart of Healthcare & AI Innovation
• Main focus: scale our support function
• Map the current support process and its failure points
• Design a QMS compliant support process
• Build the automations: automated ticket creation, assignment, alerts when a response is late
• Make sure no support request stays unanswered and that we answer everyone within the right delays
• Set up KPI tracking on support (response delays, resolution, volumes)
• Internship deliverables: a documented, QMS compliant support process, automations in production, a support KPI dashboard
• Be part of the Clinical Solutions team: Beyond your main focus, take part in the life of the team (weekly rituals, deployments, partner requests) and contribute to improving our internal processes more broadly.
• Navigate a Complex Ecosystem: Work with hospital IT teams, radiologists and partners on one side, and with Clinical Solutions, Product, Software Engineering and Quality on the other, in a regulated SaMD environment.
• Build from Scratch: Design a process that will scale with our deployments across Europe and the US, from tooling choices to process documentation.
• High Challenge & Responsibility: A unique opportunity for an ambitious student to take on real ownership and build a key function from the ground up.
• Build Core Startup

Skills:
Develop and apply key skills across process design, automation, analytical thinking, quality and communication. You will be managed by Nicolas Pageaud, within the Clinical Solutions team led by Claude Magnard. Your Experience and QualificationsWe are looking for someone who:
• is in the final year of an engineering or business school, for a 6-month end-of-studies internship;
• has an ops / process mindset and is comfortable with no-code tools and automation;
• has an interest in quality in a regulated SaMD environment;
• is passionate about healthcare and looking for a positive impact company;
• is a fast learner with a bias for action, happy to help the team on more operational tasks when needed;
• has strong analytical skills and a data-driven mindset;
• communicates effectively in written and oral English and is a French speaker;
• is highly organized and able to work autonomously;
• is humble and curious, with a big appetite to learn, discover and experiment with new things;
• has authorization to work in France. Pluses (not exhaustive)
• experience with ticketing or automation tools (Notion, Slack workflows, Claude);
• notions of quality management systems or medical device regulation;
• previous experience in customer support, operations or consulting in a fast-growing environment; Why join us
• Join a very promising, well-funded early-stage start-up
• Have a real and positive impact on people's lives
• Work on cutting-edge technology in a real-world healthcare environment
• Work with a diverse team of engineers and medical doctors
• Opportunity to join the team full-time after the internship
• Competitive salary
• Advantages: "tickets restaurants", Wellpass, etc. \nAbout the company: Raidium is building the first AI-native radiology viewer, with 3D multimodal foundation models built in for precision radiology. The first use cases focus on oncology and clinical trial biomarkers, and the viewer is expanding to the whole radiology workflow. Raidium raised a €16M seed round in November 2024 and is growing its team ahead of a Series A. The team: Raidium's founders came from Owkin and are experts in radiology and machine learning. Pierre Manceron, CEO, is a Centrale Paris + MVA engineer specialized in Applied Mathematics and Machine Learning. He previously led machine learning projects at Owkin. Paul Herent, Chief Medical Officer, is a radiologist and former interne des hôpitaux de Paris, with a Cogmaster (ENS) and PSL background. He has published pioneering research on deep learning in radiology. Our team brings together medical, AI and business expertise from top-tier schools and companies (Polytechnique, CentraleSupélec, Ponts, MVA, Owkin, Cardiologs, Datadog) to transform radiology through cutting-edge technology.