Research Associate/Fellow in Medicine

University of Nottingham School of Medicine

United Kingdom

Research Associate/Fellow (fixed term)

Closing Date
Monday, 7th June 2021
Job Type
School of Medicine
£27511 to £40322 per annum, (pro rata if applicable) depending on skills and experience (minimum £30942 with relevant PhD). Salary progression beyond this scale is subject to performance

Applications are invited for the post of Research Associate/Fellow to join a multi-disciplinary research team in Bioinfomatics within Hearing Sciences, based at the NIHR Nottingham BRC. Hearing Sciences consists of research teams led by an internationally recognised group of senior scientists, with research that spans the full range of approaches from basic auditory neuroscience to applied clinical research. 

The purpose of this role will be to carry out bioinformatic research in the auditory field. The role holder will work with large data sets comprising genetic, biomarker, neuroimaging, clinical and behavioural data to further our understanding of genetic and environmental risk factors for hearing loss and hearing-related conditions (e.g. otosclerosis, Meniere’s disease, tinnitus) and build predictive models for clinically-important patient outcomes. Techniques employed could include genome-wide association studies (GWAS), whole exome sequencing (WES), whole genome sequencing (WGS), large-scale analysis of brain anatomy, connectivity and function using MRI data, and machine learning. 

The NIHR Nottingham BRC benefits from high-quality purpose-designed facilities and established research links across the University of Nottingham and the Nottingham University Hospitals NHS Trust. These links include access to world-class expertise and facilities in computational neuroimaging, digital research, and high-performance computing. 

Candidates should have a PhD or equivalent (or be close to completion) in a relevant subject area such as bioinformatics, systems biology, computer science, neuroscience, or machine learning. Experience of conducting large-scale computational analyses in a relevant field is essential as is knowledge of core bioinformatic tools and databases.

All candidates should possess excellent communication skills, demonstrating an ability to communicate on all levels within a multi-disciplinary team. 

This post will be offered on a fixed-term contract full time (36.25 hours per week) until the 31st March 2022 with extension to 30th November 2022 pending final confirmation of funding.  Applications are also welcome from candidates wishing to work part-time (minimum 29 hours per week). Job share arrangements may be considered.

This is an exciting opportunity to work collaboratively within a multi-disciplinary team to drive forward the adoption of bioinformatic techniques within the field of hearing sciences.

Informal enquiries may be addressed to Dr Ian Wiggins, Senior Research Fellow in Hearing Sciences. Email: Please note that applications sent directly to this email address will not be accepted.

Our University has always been a supportive, inclusive, caring and positive community. We warmly welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, see our Moving to Nottingham pages.

For all successful international applicants, including EU/EEA applicants from January 2021, we offer an interest-free loan to help cover the cost of immigration-related expenses to the UK, including visas and the NHS surcharge. For more information download our Support with Immigration Expenses document.

  • Job Description/Role Profile
  • Additional Information
  • Apply Online

In your application, please refer to


amsterdam uni

antwerp uni

cambridge uni

florida uni

hamburg uni

harvard uni

hiroshima uni

oslo uni

purdue uni

ryerson uni

shanghai jiao tong uni

stockholm uni