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HawkCell

Animal-dedicated MRI system with AI

Data Science Intern

Applied Machine LearningUpdated on Nov 11
Internship · Fall 2026Lyon, FranceNo salary listed

About the Job

Requirements

  • Strong knowledge of Python, Git, and GitHub.
  • A solid foundation in deep learning and image processing.
  • An interest in publishing research and exploring innovative solutions.
  • Willingness to contribute to IT-related topics, including hardware and software tools.
  • Ability to work in an international, English-first environment.
  • Must provide a Convention de Stage.

Responsibilities

  • Collaborate on two to three mid-term projects, such as diffusion MRI denoising, super-resolution, or synthetic image generation.
  • Support the setup and configuration of installation hardware, including Mac Minis and Tinypilots.
  • Contribute to model development, experimentation, and code reviews.
  • Participate in R&D meetings and discussions and contribute ideas.

Desired Qualifications

  • Experience in a SaaS startup.
  • Experience in the veterinary industry.
  • Familiarity with DICOM, medical imaging workflows, or clinical environments.

About the Company

HawkCell

Animal-dedicated MRI system with AI

HawkCell Tech adapts human MRI systems for animal use in veterinary and preclinical labs with a plug-and-play AI layer and animal-specific hardware. It uses patent-protected 3D-printed MRI coils and a proprietary animal positioner to customize standard MRI for animals, plus AI that denoises, speeds up acquisition, and enables new sequences. The system can be operated remotely and yields images three times more precise, applicable to ~90% of human MRI diagnoses in animals (oncology, cardiology, surgery), boosting ROI by at least 50% and reducing costs. It differentiates by offering a true plug-and-play repurposing of existing MRI with a full animal-focused hardware+software stack to improve welfare and sustainability, with the goal of faster, safer, more economical MRI workflows for veterinary and preclinical imaging.

Company size
11-50
Company stage
Series A
Total funding
$6.3M
Headquarters
Lyon, France
Founded
2018

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