In this role, you will be responsible for analyzing medical images and providing accurate annotations to support the development of machine-learning algorithms for medical diagnosis and treatment planning.
Why Join Us:
Opportunity to contribute to developing innovative AI solutions for medical diagnosis and treatment.
A collaborative and supportive work environment with opportunities for professional growth and development.
Competitive salary and benefits package.
Make a meaningful impact on patient care and healthcare outcomes through cutting-edge technology.
Responsibilities
Analyze medical images such as X-rays, CT scans, MRI scans, and ultrasounds to identify relevant anatomical structures and abnormalities.
Accurately annotate and label medical images with information such as lesion boundaries, anatomical landmarks, and diagnostic findings.
Follow established protocols and guidelines for image annotation to ensure consistency and quality.
Collaborate with radiologists, data scientists, and engineers to understand annotation requirements and project objectives.
Review annotated images to ensure accuracy and completeness, making adjustments as necessary.
Maintain detailed documentation of annotation procedures and guidelines.
Assist in the development and refinement of annotation tools and workflows to improve efficiency and productivity.
Keep abreast of developments in medical imaging technology and participate in training programs to enhance annotation skills.
Required skills
Strong understanding of medical imaging modalities and anatomy.
Proficiency in using medical imaging software and tools for image analysis and annotation.
Excellent attention to detail and ability to maintain accuracy in image annotation.
Effective communication skills with the ability to collaborate with multidisciplinary teams.
Ability to work independently and manage time effectively to meet project deadlines.
Preferred skills
Familiarity with machine learning concepts and applications in medical imaging is a plus.
Experience and education
Medical degree (MD or equivalent) with specialization in radiology.
Board certification or eligibility in radiology.
Experience interpreting and analyzing medical images in a clinical setting.
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