DescriptionRole Summary
This role supports the development integration and validation of advanced MRI methods across two research workstreams:
- Oscillating Gradient Diffusion (OGSE/OGD)in collaboration with Vanderbilt University and
- FLORETbased UTE imaging (nonCartesian)in collaboration with Cincinnati Childrens Hospital.
The engineer will coordinate program execution while contributing technically to pulse sequence implementation image reconstruction and software refinement and data processingwithin the Philips MRI research environment. The emphasis is on program oversight technical coordination and collaborative execution rather than independent subjectmatter 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.
Core Responsibilities
A) Technical Development Pulse Sequence (OGSE/OGD)
- 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 onscanner integration on Philips MRI systems.
- Contribute to related data processing and image reconstruction workflows when required.
B) Image Reconstruction & Software Development (FLORET / NonCartesian)
- Implement and validate nonCartesian 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.
C) Experimental Collaboration & Validation
- Coordinate experiment planning with Vanderbilt researchers Cincinnati Childrens 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.
Qualifications
Required
- Strong familiarity with vendorspecific MRI pulse sequence programming(preferably Philipsresearch environments).
- Solid foundations in MRI reconstruction including nonCartesianmethods and software engineering.
- Handson 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 sprintbased execution models.
Preferred
- Masters 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.
Required Experience:
IC
DescriptionRole SummaryThis role supports the development integration and validation of advanced MRI methods across two research workstreams:Oscillating Gradient Diffusion (OGSE/OGD)in collaboration with Vanderbilt University andFLORETbased UTE imaging (nonCartesian)in collaboration with Cincinnati ...
DescriptionRole Summary
This role supports the development integration and validation of advanced MRI methods across two research workstreams:
- Oscillating Gradient Diffusion (OGSE/OGD)in collaboration with Vanderbilt University and
- FLORETbased UTE imaging (nonCartesian)in collaboration with Cincinnati Childrens Hospital.
The engineer will coordinate program execution while contributing technically to pulse sequence implementation image reconstruction and software refinement and data processingwithin the Philips MRI research environment. The emphasis is on program oversight technical coordination and collaborative execution rather than independent subjectmatter 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.
Core Responsibilities
A) Technical Development Pulse Sequence (OGSE/OGD)
- 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 onscanner integration on Philips MRI systems.
- Contribute to related data processing and image reconstruction workflows when required.
B) Image Reconstruction & Software Development (FLORET / NonCartesian)
- Implement and validate nonCartesian 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.
C) Experimental Collaboration & Validation
- Coordinate experiment planning with Vanderbilt researchers Cincinnati Childrens 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.
Qualifications
Required
- Strong familiarity with vendorspecific MRI pulse sequence programming(preferably Philipsresearch environments).
- Solid foundations in MRI reconstruction including nonCartesianmethods and software engineering.
- Handson 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 sprintbased execution models.
Preferred
- Masters 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.
Required Experience:
IC
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