Hybrid Medical Engineer

at SAPSOL Technologies Inc. : Systems and Process Solutions for your Enterprise

• Job title: Medical Engineer
• Job type: Contract
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: Python
• Location requirements: Hybrid, Nashville, United States

About the role

• Medical Engineer coordinating technical development of MRI methods in collaboration with major research institutions. Focused on pulse sequence programming, imaging, and software integration in hybrid settings.

Responsibilities

• 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.

Requirements

• 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.