Ai & Digital Innovation Lead

Help Shape the Future of Diagnostic Imaging at MIC
Artificial intelligence is beginning to change how diagnostic imaging organizations operate, from clinical decision support and workflow optimization to automation, analytics and the patient experience.MIC Medical Imaging is taking the next step in that evolution.We're looking for an
AI & Digital Innovation Lead
to help us build our AI capability and identify practical opportunities where emerging technologies can make diagnostic imaging better.You’ll work directly with radiologists, technologists, operational leaders and technology teams to identify opportunities, evaluate solutions, lead pilots and help successfully introduce AI into real clinical and operational environments.What You’ll Do
Help develop MIC’s AI and digital innovation roadmap.Identify high-value AI and automation opportunities.Evaluate emerging AI technologies and vendors.Lead AI pilots and implementations.Work with radiologists and technologists to integrate solutions into clinical workflows.Help establish MIC’s AI governance framework.Measure whether implemented technologies are delivering the intended results.Work across Technology, Clinical Operations, Privacy, Security and Data & Analytics.Help employees understand and confidently adopt new AI-enabled tools.Keep MIC connected to developments in AI and diagnostic imaging.What You Bring
You'll bring a combination of healthcare knowledge, technology understanding and the ability to turn ideas into practical solutions.We're particularly interested in candidates with experience in
diagnostic imaging, health informatics, clinical technology, digital health, data/analytics or healthcare innovation .You don't need to be an AI researcher or spend your day building machine-learning models.You
do
need to understand technology, ask excellent questions, work effectively with clinicians and technical teams, and be comfortable building something new.Qualifications
A degree or diploma in computer science, data science, AI Machine Learning, Information Technology, or a related field—or an equivalent combination of education and experience.8+ years in data/ML platform engineering, including production infrastructure ownership;
healthcare imaging or other regulated data environment strongly preferred.Hands-on depth in data pipeline architecture, GPU infrastructure, containerization, and ML workload operations.Demonstrated experience implementing privacy-preserving data handling — anonymization, access control, auditing under a regulatory framework.Familiarity with DICOM, PACS/RIS integration, and radiology data structures is a significant asset.Demonstrated experience leading technology initiatives through multiple stages, including opportunity identification, evaluation, pilot, implantation, adoption and ongoing performance monitoringWhy This Role Is Different
You’ll be joining MIC at the beginning of this journey.Rather than stepping into an established AI department, you’ll have an opportunity to help
build the function, establish the roadmap and shape how AI is responsibly introduced across our organization.If you’re excited about the intersection of
healthcare, diagnostic imaging, technology and innovation, we’d love to hear from you.
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