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

·   Strong knowledge of anatomy across all major MRI sequences.

·      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

• 2–5 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.