Domain Specialist - MR

Philips; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Philips Bengaluru seeks an experienced MR imaging software leader to design and deliver advanced clinical features for Neuro MR solutions, translating clinical needs into scalable software.

You will own end-to-end feature lifecycle, drive innovation, and collaborate with cross-functional teams to meet regulatory standards and performance goals.

The role emphasizes mentorship, modern toolsets including AI-assisted coding, and contributing to yearly clinical releases.

Qualifications

• 10 to 12 years of experience in MR Imaging domain.
• Proven experience in developing clinical software features, including design, implementation, and validation.
• Strong 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.

Responsibilities

• 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.

Skills

MR Imaging principles

Clinical feature development

Image quality optimization

Translate clinical needs into software

C++ programming

Python programming

Imaging algorithms & reconstruction

Autonomous MR concepts

Software quality processes

Cross-functional collaboration

AI-assisted coding tools

Mentoring teams

Software architecture & system design

Problem solving & debugging

Modern development tools

Tools

Copilot

Job description

• 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)

2. Clinical Feature Development & Delivery

• 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

3. Technical Leadership & Architecture

• 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

4. Cross-functional Collaboration

• 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.

6. Innovation & Productivity Enablement

• 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