MRI segmentation Specialist

About the Role

We're looking for an MRI Application Specialist with strong expertise in anatomy, pathology interpretation, and hands-on segmentation. You will support MRI data curation, segmentation workflows, collaborate closely with radiologists and AI engineers, and help build products aligned with upcoming healthcare technologies.

Key Responsibilities

• Perform manual and semi-automatic segmentation of all anatomies, especially MSK, including joints, bones, cartilage, ligaments, tendons, and soft tissues.
• Review and interpret multi-sequence MRI datasets (T1, T2, PD, STIR, GRE, fat-sat, etc.).
• Support MRI protocol understanding, quality checks, and dataset preparation.
• Contribute to annotation guidelines, workflow improvement, and tool enhancement.
• Document segmentation protocols and maintain accurate records of anatomical variations.

Skills

Knowledge of relevant anatomical structures and pathologies across various MRI sequences.

High precision in 2D and 3D segmentation.

Proficiency with segmentation tools such as 3D Slicer, ITK-SNAP, Mimics, MITK, Horos, or equivalent.

Ability to work with DICOM data and MRI-specific parameters.

Strong visual reasoning and attention to detail.

Ability to manage datasets and maintain consistency across volumes and sequences.

Requirements

• Strong understanding of MRI imaging principles, contrast mechanisms, and sequence interpretation.
• Ability to follow structured segmentation protocols with high accuracy.
• Clear communication skills for discussions with radiologists and technical teams.
• Comfortable handling large MSK MRI datasets and various imaging artefacts.

Education

• Bachelor's degree in Radiology, Medical Imaging, Biomedical Engineering, or a related field is a MUST.

Experience

• 25 years of experience working with MRI datasets and performing segmentation.
• Experience in medical imaging annotation projects or clinical imaging workflows.
• Prior exposure to AI/ML imaging teams is a plus.