Domain Specialist - MR Imaging

Overview

Domain Specialist for MR Imaging, leading the design, development and delivery of advanced clinical software features for Neuro MR solutions.

What you'll do

• Lead the design, development and implementation of advanced clinical software features for Neuro MR solutions.
• Own the end-to-end feature lifecycle, from concept and architecture to validation and release readiness.
• Contribute to yearly clinical releases (e.g., RSNA), ensuring alignment with roadmap and timeline commitments.
• Drive innovation through prototyping and early clinical validation studies to improve patient outcomes and workflow efficiency.
• Develop high-level and detailed software designs aligned with system requirements and reference architectures.
• Ensure robust, scalable, and high-quality software implementation in compliance with regulatory and product standards.
• Lead design reviews, FMEAs, and technical discussions to ensure quality and risk mitigation.
• Drive improvements in image quality (IQ) through deep domain expertise and collaboration with system engineering teams.
• Collaborate closely with Clinical Science and Clinical Applications teams to refine clinical requirements and validate solutions.
• Work with program teams, system architects, and product management to align feature development with business and customer needs.
• Engage with stakeholders to incorporate clinical feedback, expert testing insights, and customer use cases.
• Leverage advanced tools (e.g., AI-based tooling like Copilot) to improve development efficiency and debugging effectiveness.
• Contribute to new clinical concepts and future roadmap initiatives (e.g., adaptive imaging, advanced reconstruction techniques).
• Support early-stage solution development and technology exploration aligned with long-term clinical strategy.

What you'll need

• 10 to 12 years of experience in the MR Imaging domain.
• Strong understanding of MR imaging principles.
• Expertise in clinical feature development and image quality (IQ) optimization.
• Ability to translate clinical requirements into software solutions.
• Exposure to advanced imaging techniques (e.g., acceleration methods, full FOV imaging, perfusion imaging).
• Proven experience in developing clinical software features, including design, implementation, and validation.
• Solid foundation in software architecture and system design with the ability to translate clinical needs into scalable solutions.
• Strong programming experience in C++ (performance-critical systems) and Python (prototyping and data analysis).
• Experience in imaging algorithms and reconstruction techniques, with a focus on performance and IQ improvement.
• Understanding of Autonomous MR concepts, including adaptive imaging, workflow automation, and intelligent systems.
• Experience with software quality processes, including test automation, CI/CD, and regulated development environments.
• Strong problem-solving and debugging skills in complex system environments.
• Ability to collaborate effectively across cross-functional teams and drive technical alignment.
• Experience using modern development tools and AI-assisted coding to improve efficiency.
• Demonstrated ability to mentor, guide, and influence teams in a non-hierarchical environment.