AI Lifecycle Management Specialist – Clinical Imaging Software Suite

Job Title
AI Lifecycle Management Specialist – Clinical Imaging Software Suite

Job Description

Job title:
AI Lifecycle Management Specialist – Clinical Imaging Software Suite
Your role:
Join a high-performing team within the Image Guided Therapy Devices (IGT-D) Software R&D group in Philips Israel. In this role, you will focus on bringing cutting-edge AI algorithms, as integral parts of medical software applications, to market in compliance with regulatory and quality standards. You will oversee the lifecycle management of AI models, ensuring their deployment, product integration, maintenance, and updates in real-world clinical environments.

Your Role:

• AI Lifecycle Management: Lead the lifecycle management of AI algorithms, including deployment, product integration, monitoring, field updates, and retraining, ensuring they meet safety, efficacy, and quality standards throughout their lifecycle.
• Regulatory & Quality Compliance: Ensure all AI models and associated workflows comply with medical regulatory frameworks (FDA, MDR, ISO 13485) and quality standards, including robust documentation for audits and reviews.
• Collaboration Across Teams: Work closely with data scientists, software engineers, clinical experts, and regulatory and quality specialists to integrate AI algorithms into medical software products and refine them based on clinical feedback. Collaboration with service teams for monitoring purposes is also highly valued.
• Deployment & Monitoring: Oversee the implementation of AI models in production environments, ensuring their performance aligns with real-world clinical needs. Manage post-deployment monitoring and updates to maintain reliability and accuracy.
• AI Development Oversight: While not necessarily hands-on, provide technical guidance and expertise in AI model development, including architecture, data collection, and ethical considerations.
• Ethical & Practical Considerations: Address biases, ensure patient privacy (e.g., GDPR, HIPAA), and deliver equitable AI solutions in healthcare.
  
  

You're the right fit if:

• You have a degree in Computer Science, Data Science, or a related field, with a strong focus on AI technologies.
• You bring extensive experience managing and contributing to the lifecycle of AI algorithms in medical or regulated environments, resulting in the deployment/launch of medical products and their maintenance.
• You are proficient in regulatory and quality standards for medical devices (e.g., IEC 62304, FDA, MDR, ISO 13485).
• You have a solid understanding of AI development processes and frameworks (e.g., PyTorch, TensorFlow), even if your current role is less hands-on.
• You demonstrate expertise in monitoring, updating, and retraining AI algorithms based on real-world data while adhering to compliance requirements.
• You are committed to delivering safe, effective, and ethical AI-driven solutions for healthcare.
• Fluent in spoken and written English.
  
  

How We Work Together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.

Onsite roles require full-time presence in the company’s facilities.

Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

Indicate if this role is an office/field/onsite role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.

• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
  
  

If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our commitment to diversity and inclusion here.