Description

Domain Specialist - MR Imaging

Key Responsibilities

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)

Lead the design, development, and implementation of advanced clinical software features for Neuro MR solutions.
Own 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.

To succeed in this role, you should have the following skills and experience

10 to 12 years of experience in MR Imaging domain
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