MRI Research Associate: Vascular Modeling for CKD

The University of Sheffield

Sheffield

Hybrid

GBP 38,000 - 46,000

Full time

38 hours ago
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Benefits offered by this job

41 days annual leave
Hybrid working
Discounts & rewards
Career development

Job summary

The University of Sheffield seeks a Research Associate 2 to lead MRI protocol development within the Medical Imaging Team. You will drive clinical studies under Prof. Steven Sourbron, leveraging phase-contrast MRI to advance vascular modelling for CKD within the INSIGNEO Institute.

You will work with an interdisciplinary team, develop data pipelines, and contribute to open data sharing while presenting findings at conferences and ensuring high standards of research output.

Qualifications

  • PhD or near completion in a highly quantitative field such as Physics, Engineering or Computational Biomedical Imaging.
  • Documented experience in MRI sequence development and sequence programming.
  • Strong background in MRI physics and processing and modelling of MRI data.
  • Experience with open-source codebases, GitHub and open-science data sharing standards.
  • Excellent communication and interpersonal skills for multidisciplinary teams.
  • Track record of peer-reviewed publications or technical reports.
  • Experience setting up and analysing phase-contrast MRI data and GE sequences.

Responsibilities

  • Lead MRI protocol development and clinical studies within WP2 under supervision.
  • Retrospectively analyse renal phase-contrast MRI data from iBEAt study.
  • Set up MRI protocol on GE scanners to measure renal blood flow and velocity.
  • Develop an integrated database and analysis pipeline for data handling.
  • Design and run a clinical study with patients and controls to inform the model.
  • Collaborate with Research Associate 1 on model application and validation.
  • Package data and models into an open repository on GitHub/Zenodo.
  • Present milestones at meetings and international conferences.

Skills

MRI sequence development
MRI physics
data processing
open science data sharing
communication & collaboration
publications & reports
phase-contrast MRI data

Education

PhD in Physics, Engineering, Applied Mathematics or related field

Tools

GE scanners
GitHub
Open-source software
Zenodo

Job description

The University of Sheffield seeks a Research Associate 2 to lead MRI protocol development within the Medical Imaging Team. You will drive clinical studies under Prof. Steven Sourbron, leveraging phase-contrast MRI to advance vascular modelling for CKD within the INSIGNEO Institute.

You will work with an interdisciplinary team, develop data pipelines, and contribute to open data sharing while presenting findings at conferences and ensuring high standards of research output.

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