Medical Engineer

Role Summary

This role supports the development, integration, and validation of advanced MRI methods across two research work streams:

• Oscillating Gradient Diffusion (OGSE/OGD) in collaboration with Vanderbilt University, and
• FLORET‑based UTE imaging (non‑Cartesian) in collaboration with Cincinnati Children’s Hospital.

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Philips MRI research environment. The emphasis is on program oversight, technical coordination, and collaborative execution, rather than independent subject‑matter leadership in diffusion MRI or FLORET.

Note:

This role focuses on technical engagement and delivery. It does not include clinical trial operations or regulatory ownership.

• Refine and extend existing OGSE pulse sequence code in the Philips research environment.
• Implement additional features, improve robustness, and ensure correct sequence functionality.
• Support deployment and on‑scanner integration on Philips MRI systems.
• Contribute to related data processing and image reconstruction workflows when required.

• Implement and validate non‑Cartesian MRI reconstructionpipelines (including those supporting FLORET UTE acquisitions).
• Support software deployment and integration of reconstruction tools within Philips research systems.
• Refine reconstruction workflows, add new features, and improve system interfaces and usability.
• Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.

• Coordinate experiment planning with Vanderbilt researchers, Cincinnati Children’s teams, and clinical MRI staff.
• Support execution of scanner experiments as needed.
• Assist with validation of OGSE and FLORET acquisition outputs through systematic testing and comparative analysis.
• Prepare technical validation summaries/reports and ensure outputs align with program deliverables and milestones.
• Document results, assumptions, and change histories with strong discipline.

• Strong familiarity with vendor‑specific MRI pulse sequence programming(preferably Philipsresearch environments).
• Solid foundations in MRI reconstruction, including non‑Cartesianmethods, and software engineering.
• Hands‑on experience with C++ / Python / MATLABfor algorithm and tooling development.
• Ability to collaborate effectively across industry and academic partners; clear written and verbal communication.
• Proven ability to operate under hardware constraints and in structured, sprint‑based execution models.

• Master’s or PhDin MRI Physics, Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, or related field.
• Experience with Philips MRI research environments(e.g., research interfaces, integration workflows).
• Exposure to OGSE/OGDdiffusion methods and/or FLORETUTE imaging (deep expertise not required).
• Experience with MRI data processing, QA/QC, and validation workflows.