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
• 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 reconstruction pipelines (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 Philips research environments).
• Solid foundations in MRI reconstruction
  , including non‑Cartesian methods, and software engineering
  .
• Hands‑on experience with C++ / Python / MATLAB for 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 PhD in 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/OGD diffusion methods and/or FLORET UTE imaging (deep expertise not required).
• Experience with MRI data processing, QA/QC, and validation workflows.