Marketing Associate Intern

About Raidium

Raidium is building a first-of-its-kind, AI-native viewer that uses a foundation-model-based approach to unify the entire radiology workflow. A unique viewer designed to support radiologists across their workflow. Our first application focuses on oncology, but we’re continuously working to expand it to the broader radiology workflow to draft reports for any workflow..

Thanks to a 16M€ seed round raised in November 2024 and in anticipation of an upcoming Series A, Raidium is expanding its 50-person team.

About the role

We are looking for a versatile and proactive Marketing Associate Intern to join our marketing team. You will work across social media, events, digital marketing, and marketing operations, gaining hands-on experience on every part of the marketing mix in a fast-growing company. You will have real ownership from day one and see the direct impact of your work.

Your missions:

• Social media & engagement

  • Create and publish content for our LinkedIn and X accounts

  • Repurpose existing content (articles, webinars, event recaps, product updates) into engaging social posts

  • Track and analyze performance, and share insights to improve engagement over time

  • Event management

    • Support the logistics and execution of events, from preparation to follow-up

    • Help manage our presence onsite at conferences and trade shows

    • Create content before, during, and after events

    • Help organize and run webinars

    • Digital marketing

      • Contribute to our newsletter, from writing to sending and addressing various audiences from machine learning researchers to investors

      • Follow up on and clean the leads generated by events and campaigns

      • Help lay the groundwork for new campaigns: landing pages, SEO and GEO (generative engine optimization), and more

      • Marketing operations

        • Keep our CRM database clean, accurate and up to date

        • Maintain and update our internal marketing resources hub

        • You will contribute to the development of various marketing assets, both in French and English

        • To achieve all these goals, you’ll be in close interaction with clinical partners and a variety of teams (Clinical Solutions, Product & Machine Learning teams)

        Your manager will be Alexandra Yembele, the Head of Marketing.

Your Experience and Qualifications

• Currently enrolled in a Master's degree program in business or engineering school or equivalent ;

• Interested in B2B marketing, technology, healthcare ;

• Organized and detail-oriented, comfortable handling several projects at once

• Curious and autonomous, with a taste for both creative and analytical work

• Communicates effectively in written and oral English; is a French speaker (>=B2) ;

• Authorized to work in France.

Pluses (not exhaustive!):

• Previous experience in a challenging ecosystem (fast-growing startup, top-tier consulting firm, pharma or medical device companies);

• Knowledge of medicine and biology ;

• Notions or experience in deep learning, LLMs or foundation models;

• Familiarity with Canva, Mailchimp, Notion and a CRM tool.

Why join us:

• Join a very promising, well-funded early-stage start-up

• Work with a diverse team of engineers and radiologists

• Broad, hands-on exposure to every area of marketing

• The chance to take part in industry events

• Opportunity to join the team full-time after the internship

• Perks: Swile card, Gymlib, etc…

Details

• Duration: 6 months
• Expected start date: January 4, 2027
• Location: Hôpital Cochin, Paris 14

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 engineer specialized in Applied Mathematics and Machine Learning, who previously led machine learning projects at Owkin.

Dr. Paul Herent, Chief Medical Officer, is a radiologist and former Paris hospital resident (AP-HP), with a Cogmaster (ENS) and PSL background, and has published pioneering research on deep learning in radiology.

Together, our team of 50 people combines medical, AI, and business expertise from top-tier schools (CentraleSupelec, Polytechnique, Ponts, MVA, Owkin, Cardiologs, Datadog) and aims to revolutionize radiology through cutting-edge technology.