What are the responsibilities and job description for the Technical Program Engineer position at Cyient?
The MRI Technical Program Engineer will support 2 workstreams, viz. the development, refinement, and validation of oscillating gradient diffusion (OGSE/OGD) MRI methods in partnership with Vanderbilt University and collaborating clinical research sites and FLORET UTE Imaging in collaboration with Cincinnati Children’s Hospital. The role combines technical implementation and coordination responsibilities to ensure successful execution of program deliverables focused on MRI pulse sequence development, research software integration, and data processing within the Philips MRI research ecosystem.
This position is designed for a technically strong engineer who excels in coordination and structured execution. While hands-on work in sequence development and data workflows is expected, the role does not require independent subject-matter leadership in diffusion MRI.
Core Responsibilities: Program and Project Coordination· Manage end-to-end workstream timelines and ensure progress aligns with sprint milestones and program schedules.
· Track technical documentation, deliverables, risks, and key meeting actions.
· Facilitate effective communication between Philips internal teams, Vanderbilt researchers, and participating sites.
· Facilitate effective communication between Philips internal teams, Cincinnati researchers, and participating sites.
· Monitor scope execution to ensure alignment with planned activities and deadlines.
· Support preparation, compliance, and tracking of research collaboration documents, agreements, and contractual elements.
Qualifications Required- B.S. or M.S. in Electrical Engineering, Biomedical Engineering, Physics, Computer Science, or related field.
- Experience in MRI pulse sequence development (e.g., Philips R5/R6 research environment or other vendor research platforms).
- Proficiency in MRI principles, especially diffusion imaging fundamentals.
- Strong organizational and program coordination skills in a technical environment.
- Ability to communicate effectively across engineering, academic, and research stakeholders.
- Experience with MATLAB, Python, or similar tools for MRI data processing.
- Previous exposure to oscillating gradient diffusion techniques (OGSE/OGD) or advanced diffusion MRI research.
- Familiarity with Philips MR Open Interface, RFP, or research integration frameworks.
- Experience working in multi-institution collaborations or research consortia.