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We’re looking for a experienced Data Scientist with deep learning experience to lead high-impact AI projects in medical imaging. You’ll work alongside researchers and engineers to push the boundaries of diagnostic imaging—from super-resolution to pathology detection—and help shape the future of our AI pipeline. This role involves mentoring junior team members, publishing research, and deploying real-world AI applications.
Job Responsibility:
Lead development of models for denoising, synthetic contrast generation, and classification
Design algorithms for segmentation, localization, and characterization of pathologies
Collaborate with other DS team members and mentor junior profiles
Ensure clean, maintainable code and scalable model packaging (Poetry/uv)
Put models into production and help design robust evaluation pipelines
Publish your work in peer-reviewed venues and represent Hawkcell in the AI community
Contribute to IT topics and help bridge R&D and productionization
Requirements:
4+ years of experience in deep learning applied to imaging
Proven track record of bringing models to production
Strong coding standards and experience with Git/GitHub collaboration tools
Proficiency in packaging tools like Poetry or uv
Published research papers and eagerness to continue publishing
Comfortable working in a fast-paced, collaborative environment
Ability to work in an international and English-first environment
Nice to have:
Experience with Cloud environment (AWS, GCP, Azure)
Knowledge of medical imaging, DICOM formats, clinical environments
Knowledge of medical software related norms and processes
Experience in a regulated domain
Experience in SaaS startups
Experience in or keen interest in Web-Dev or C++
What we offer:
A mission to revolutionize the animal healthcare industry
A great and ambitious team to grow with
An international culture with 10+ nationalities in the team
An amazing office for you to share with other Hawkstars in Lyon, France
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