MRI Technical Engineer

Accord Technologies Inc; Nashville (TN); Hybrid; USD 90,000 - 130,000; Full time

Job summary

A leading healthcare technology company is seeking an experienced engineer to support the development, integration, and validation of advanced MRI methods. The role involves technical coordination, program oversight, and programming in MRI environments. Ideal candidates will have a background in MRI pulse sequence development, collaboration with industry partners, and expertise in C++ or Python. This position is remote-friendly with occasional travel to key sites required, emphasizing delivery and technical engagement within the research context.

Qualifications

• 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 sprint‑based execution models.

Responsibilities

• Coordinate program execution while contributing to pulse sequence implementation.
• Refine and extend existing OGSE pulse sequence code in Philips research environment.
• Implement and validate non‑Cartesian MRI reconstruction pipelines.
• Support deployment and on‑scanner integration on Philips MRI systems.
• Contribute to related data processing and image reconstruction workflows when required.
• Image Reconstruction & Software Development (FLORET / Non‑Cartesian).
• Implement and validate non‑Cartesian MRI reconstruction pipelines (including FLORET UTE).
• Support software deployment and integration of reconstruction tools within Philips systems.
• Refine reconstruction workflows, add features, and improve system interfaces and usability.
• Perform data validation and quality checks; evaluate reconstruction stability and artifact behavior.
• Experimental Collaboration & Validation – 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 outputs through systematic testing and comparative analysis.
• Prepare technical validation summaries/reports and ensure outputs align with deliverables and milestones.
• Document results, assumptions, and change histories with discipline.

Skills

MRI pulse sequence programming

MRI reconstruction

C++

Python

MATLAB

Collaboration

Communication

Collaboration

Education

Master’s or PhD in MRI Physics, Biomedical Engineering, or related field

Tools

Philips MRI research interfaces

Job description

Locations: Nashville, TN or Cincinnati, OH or Rochester, MN, but any location in the US can suffice. Occasional travel to Nashville and Cincinnati would be required (twice a quarter). Visa: Open.

Mandatory: Prior experience with pulse sequence is mandatory, MRI experience is needed.

Role Summary

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

• Oscillating Gradient Diffusion (OGSE/OGD)
• FLORET‑based UTE imaging (non‑Cartesian)

The engineer will coordinate program execution while contributing technically to pulse sequence implementation, image reconstruction and software refinement, and data processing within the Client 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.

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

Core Responsibilities

• 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 on‑scanner integration on Philips MRI systems.
• Contribute to related data processing and image reconstruction workflows when required.
• Image Reconstruction & Software Development (FLORET / Non‑Cartesian)
• 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.
• Experimental Collaboration & Validation
• 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.

Qualifications

Required

• 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.

Preferred

• 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.