Strategy & Operations Analyst Intern

In practice: A Key Role at the Heart of Healthcare & AI Innovation General Processes and Roadmap: Work directly within the Strategy & Operations team and with the Founders (CEO & CMO), to support and execute the development strategy that will ensure the company's long-term impact. Accompany the team in their daily mission to improve the processes of the company, manage the general roadmap, support strategic initiatives and foster operational excellence.  Navigate a Complex Ecosystem: Interact with a challenging environment (Hospitals, Industrial Partners, VCs, Regulatory Affairs) to build and refine our internal processes  360° Missions: Take on from strategic brainstorming (competitive intelligence and market studies) to pure operations (setting up internal processes, tools, supporting Clinical solutions/Product/R&D teams), as well as strategic deep dives and project management on various topics such as infrastructure, AI & tooling enablement, and cyber security. Contribute to the financing efforts: Join Raidium at a key strategic point, involving non-dilutive funding (French & European public grants) and equity fundraising (Series A) Structure the RevOps stream: build and maintain the GTM and sales pipelines, manage the CRM, define and build KPI dashboards and revenue forecasts, and document the lead-to-contract process. High Challenge & Responsibility: A unique opportunity for an ambitious student to take on high-level responsibilities and actively contribute to the growth of an early-stage AI-native Healthcare startup Build Core Startup Skills: Develop and apply key skills across strategy, analytical thinking, problem-solving and communication. You will be managed by Louis Cattin Mota de Campos, Strategy & Operations Manager. Your Experience and Qualifications: We are looking for someone who: is enrolled in a Master degree program or equivalent in engineering or business school; is passionate about healthcare, machine learning and looking for a positive impact company; is a fast learner and has a bias for action, ready to work on a very broad spectrum of tasks. You like helping out and giving a hand to the team on more operational or administrative tasks when needed; has strong analytical skills and data driven mindset; communicates effectively in written and oral English; is a French speaker (>=B2) ; is highly organized and able to work autonomously; is humble, curious with a big appetite to learn, discover and experiment with new things; has authorization to work in France. Pluses (not exhaustive): previous experience in a challenging ecosystem (fast-growing startup, top-tier consulting firm, medical device, healthtech or pharma companies); knowledge of medicine and biology ; notions or experience in deep learning notions of privacy regulations/RGPD; experience with large language models or foundation models. 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… About the company: Raidium is developing the first 3D multimodal foundation model for precision radiology, delivered to radiologists in an AI-native PACS viewer. The initial use cases focus on clinical trial biomarkers in oncology, before expanding to the entire radiology workflow. Thanks to a 16M€ seed round raised in November 2024 and in anticipation of an upcoming Series A, Raidium is expanding its team. The team: The founders of Raidium are experts in radiology and machine learning from Owkin, bringing together extensive experience from both fields. Pierre Manceron, CEO, is a Centrale Paris + MVA engineer specialized in Applied Mathematics and Machine Learning, who 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, and has published pioneering research on deep learning in radiology.  Together, our team combines medical, AI, and business expertise from top-tier schools (Polytechnique, CentraleSupelec, Ponts, MVA, Owkin, Cardiologs, Datadog, MVA) and  to revolutionize radiology through cutting-edge technology.