Competitive salary; short-term incentive via medtr...
Not specified
10+ years data science experience
6+ years computer vision expertise
Medical imaging modalities ct mri x-ray ultrasound
Medtronic Diabetes is seeking a Lead AI/Data Science Engineer with expertise in computer vision to develop advanced AI models for medical imaging. The role involves collaboration with clinical experts and managing a team of data scientists while ensuring compliance with medical standards
Job Summary
This role leads the creation of cutting-edge AI models to revolutionize healthcare through advanced medical imaging analysis.
The position requires rigorous validation of models to ensure they meet strict FDA/CE regulatory standards for safety and accuracy.
Medtronic offers a competitive salary, flexible benefits package, and eligibility for the Medtronic Incentive Plan (MIP).
Matching Summary
Match Score: 85
Medtronic Diabetes is seeking a Lead AI/Data Science Engineer with expertise in computer vision to develop advanced AI models for medical imaging. The role involves collaboration with clinical experts and managing a team of data scientists while ensuring compliance with medical standards.
Salary
Competitive Salary; Short-term incentive via Medtronic Incentive Plan (MIP); Flexible Benefits Package
Skills & Requirements
Must-have
10+ years data science experience
6+ years computer vision expertise
Medical imaging modalities CT MRI X-ray ultrasound
Python TensorFlow PyTorch proficiency
DICOM formats PACS systems knowledge
FDA CE regulatory compliance experience
Cloud and edge device model optimization
Nice-to-have
Mentoring team of data scientists
Publishing research findings at conferences
Cross-functional collaboration with clinicians
Generative models expertise
Strong communication with non-technical stakeholders
Key Requirements
B.Tech / Masters / Ph.D. in Computer Science or related field
10+ years professional experience in data science or AI
Proven track record of leadership in complex projects
Deep understanding of image segmentation and object detection
Experience handling large-scale medical image datasets