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 byLouis 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.