Post-doctoral Research Associate in Preclinical Liver MRI - Strand, London, WC2R 2LS

TieTalent; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

An innovative research opportunity awaits a motivated Postdoctoral Researcher in the heart of London. Join a dynamic team at a leading institution, focusing on groundbreaking MRI techniques for liver imaging aimed at detecting cancer micrometastases. This role offers the chance to work with cutting-edge technology and collaborate with esteemed researchers, contributing to significant advancements in healthcare. If you're passionate about biomedical engineering and eager to make a real impact in the field, this full-time position could be your next career milestone.

Qualifications

• PhD in Biomedical Engineering, Medical Physics, or related field required.
• Strong analytical and programming skills essential for this role.

Responsibilities

• Develop advanced preclinical MRI techniques for liver imaging.
• Conduct data acquisition and analysis for liver micrometastases detection.

Skills

Analytical Skills

Image Processing

Problem Solving

Programming Skills

MR Theory Knowledge

Mathematical Modeling

Education

PhD in Biomedical Engineering

PhD in Medical Physics

PhD in Medical Imaging

Tools

MRI Data Acquisition

Image Processing Software

Job description

Post-doctoral Research Associate in Preclinical Liver MRI - Strand, London, WC2R 2LS

3 days ago Be among the first 25 applicants

About Us

The post will be based at St Thomas’ Hospital in central London within the School of Biomedical Engineering & Imaging Sciences at King’s College London. The role involves close collaboration with researchers at the James Black Centre on the Denmark Hill Campus, where experimental work will be conducted. The infrastructure supports advanced translational healthcare research, including various clinical MRI scanners (0.55T, 1.5T, 3T, 7T), a 9.4T preclinical MRI scanner, access to a Liver Biobank, modern laboratories, high-performance computing, and industry partnerships through the London Institute for Healthcare Engineering.

About The Role

We seek a motivated Postdoctoral Researcher to work with Dr. Andrada Ianus at the School of Biomedical Engineering & Imaging Sciences, King’s College London, in collaboration with Dr. Po-Wah So at the Institute of Psychiatry, Psychology & Neuroscience. The project, funded by an ERC Starting Grant, aims to develop novel MRI techniques for liver imaging to detect and characterize micrometastases.

The project focuses on enabling the detection and mapping of liver micrometastases in cancer through innovative MRI methods, including multi-dimensional diffusion-relaxometry, data denoising, and biophysical tissue modeling.

You will develop advanced preclinical MRI techniques for in-vivo mouse liver imaging (normal and metastatic models) and ex-vivo human liver tissue MRI. Responsibilities include sequence implementation, data acquisition and analysis, biophysical modeling, and liaising with the Liver Biobank at King’s College Hospital. The experimental work will be at the James Black Centre, Denmark Hill.

Applicants should have a PhD in Biomedical Engineering, Medical Physics, Medical Imaging, or related fields (or pending results), with strong analytical and programming skills, MR theory knowledge, and experience with MRI data acquisition and analysis, mathematical modeling, and image processing. Experience with preclinical rodent MRI and pulse sequence programming is advantageous. A track record of peer-reviewed publications and conference presentations is preferred. Excellent communication, organization, problem-solving skills, and teamwork ability are essential.

This is a full-time, fixed-term contract for 3 years, working 35 hours per week.

Nice-to-have Skills

• Analytical Skills
• Image Processing
• Problem Solving

Additional Information

• Location: London, England
• Work Experience: Biomedical Engineer
• Languages: English
• Seniority Level: Internship
• Employment Type: Full-time
• Job Function: Research, Analyst, and IT
• Industries: Technology, Information, and Internet