Research Fellow- Life Sciences

This post is full time, 35 days per week and fixed term until November 2025.

We are looking to recruit a PDRA to join the Research Centre for Optimal Health in the School of Life Sciences at the University of Westminster to work on a research project funded by a life science company.
Our ongoing research project focuses on the development and application of novel image processing techniques to extensive collections of medical images to create novel biomarkers. The work will involve driving analyses to investigate age and health outcomes using these biomarkers. In this role you will be responsible for applying quantitative biomarkers from the imaging and healthcare datasets (including the UK Biobank), supporting our research and development effort, and leading as well as contributing to the writing of scientific papers and the success of our projects.
The successful candidate must be highly motivated and have an advanced degree in a relevant field. Previous experience with research focusing on biomedical data analysis, medical image computing, and machine learning is advantageous but not required. Previous experience with magnetic resonance imaging is also preferred. The ideal candidate should have experience in computational and statistical programming languages. Knowledge in human physiology and anatomy is also a plus.

Further information can be found in the job description and person specification, which can be accessed through link below.

At the University of Westminster, diversity, inclusion and equality of opportunity are at the core of how we engage with students, colleagues, applicants, visitors and all our stakeholders.

We are fully committed to enabling a supportive and safe learning and working environment which is equitable, diverse and inclusive, is based on mutual respect and trust, and in which harassment and discrimination are neither tolerated nor acceptable.

The University has adopted Smart Working principles to support and further our Equality, Diversity and Inclusion aims of being an inclusive, collaborative and flexible employer. Further details of Smart Working can be discussed at interview stage.

Closing date: midnight on 18 December 2023

Interviews are likely to be held on: A date to be confirmed