AI Medical Imaging Data Scientist (m/f/d)

iO Associates; München; Remote; EUR 100.000 - 125.000; Vollzeit

Zusammenfassung

A leading company is seeking a Freelance AI Medical Imaging Specialist to drive innovations in osteoporosis diagnostics. This remote role focuses on applying multimodal AI models within a clinical context, ensuring regulatory compliance while collaborating with top professionals in the field. As part of a flexible project scope, you will have the chance to influence the development of impactful diagnostic solutions.

Qualifikationen

• Strong experience in multimodal or foundational AI models in medical imaging.
• Familiarity with DICOM, PACS, HL7/FHIR.
• Understanding of EU MDR, ISO 13485 compliance.

Aufgaben

• Contribute to research and development in osteoporosis diagnostics.
• Work with interdisciplinary teams on cutting-edge projects.
• Shape real-world diagnostic tools.

Kenntnisse

Multimodal AI models

Foundational AI models

Medical Imaging

Regulatory Compliance (EU MDR, ISO 13485)

Tools

Python

PyTorch

TensorFlow

MONAI

Hugging Face

Jobbeschreibung

Freelance AI Medical Imaging Specialist (Multimodal / Foundational Models)
Remote (Germany-based preferred) | Focus: Osteoporosis | Contract

We're hiring a freelance AI expert at the intersection of medical imaging, foundational models, and real-world clinical applications. You'll contribute to cutting-edge research and development in osteoporosis diagnostics, working alongside a high-calibre interdisciplinary team.

What We're Looking For:

• Strong experience in multimodal or foundational AI models applied to medical imaging
• Familiarity with DICOM, PACS, HL7/FHIR, and imaging standards
• Proficient in Python, PyTorch/TensorFlow, MONAI, Hugging Face, or similar tools
• Demonstrable understanding of EU MDR, ISO 13485, or AI Act compliance
• Previous work in bone density analysis, skeletal health, or osteoporosis is highly desirable

Bonus:

• Experience integrating imaging with clinical data or omics datasets
• Prior contributions to AI/ML model validation in regulated environments

Flexible project scope with a chance to shape real-world diagnostic tools. This is a rare opportunity to bring research and regulation together in a way that truly impacts patients.