Scientific Product Enablement Intern

Why this internship
Raidium's AI-native viewer is deployed with radiologists at leading European and US cancer centers and academic hospitals, starting with tumor detection and response assessment. The foundation models behind it can do much more: multi-organ, multi-modality, multi-task. Your mission is to turn this potential into concrete clinical use cases, within and beyond oncology, and to build the method that lets us launch each new one faster, from first demo to radiologist training.
You will join the Clinical Solutions team, the customer-facing team that deploys Raidium in hospitals and works with radiologists day to day. Building our use case library 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, demos and partner requests when needed, and helping improve our processes in general.

In practice: A Key Role at the Heart of Healthcare & AI Innovation

- Main focus: expand our clinical use cases
- Prepare new use cases within and outside oncology: check how to run them in the current viewer, build the demos and the ideal workflows

- Translate available and upcoming features into more use cases, and accelerate discovery on new use cases to find quick wins towards a more generalist product

- Benchmark our product against others on these use cases, to build marketing arguments and feed the roadmap

- Build and maintain trainings for radiologists interested in novel use cases

- Build reusable protocols in the viewer: for QA, validation studies, trainings and demos

- Work together with radiologists, partners, Product and Marketing

- Internship deliverables: a library of documented use cases (demo, workflow, protocol, training), a competitive benchmark for each use case, a process to qualify a new use case

- Be part of the Clinical Solutions team: Beyond your main focus, take part in the life of the team (weekly rituals, deployments, demos, partner requests) and contribute to improving our internal processes more broadly.

- Navigate a Complex Ecosystem: Work hands-on with radiologists at leading European and US cancer centers and academic hospitals, and with our internal Product, ML, Medical and Marketing teams.

- Shape the Product: Your use case work feeds the roadmap of an AI-native viewer with foundation models built in (multi-organ, multi-modality, multi-task) and helps it grow from oncology into the whole radiology workflow.

- High Challenge & Responsibility: A unique opportunity for an ambitious student to take on real ownership and help lay the foundation of scientific product enablement processes

- Build Core Startup Skills: Develop and apply key skills across clinical workflows, product thinking, structured documentation and communication with medical experts.

You will be managed by Melanie Araneda, within the Clinical Solutions team led by Claude Magnard.

Your Experience and Qualifications

We are looking for someone who:

- is in the final year of an engineering school or an MSc in biomedical engineering / medical imaging, for a 6-month end-of-studies internship;

- is comfortable with clinical topics and working with radiologists;

- is passionate about healthcare and machine learning and looking for a positive impact company;

- is a fast learner with a bias for action, ready to work on a very broad spectrum of tasks;

- is rigorous and structured, able to turn hands-on exploration into clear, reusable documentation;

- 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)

- knowledge of radiology, medical imaging (CT, MRI, PET);

- experience with DICOM viewers or PACS;

- previous experience in a demanding environment (fast-growing startup, medical device, healthtech or pharma);

- experience writing protocols, test plans or training material.

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 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.