Strategy & Operations Analyst Intern

• 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.

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.

• 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.

• 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…

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 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.