Research Fellow

Area
Mental Health and Clinical Neurosciences

Location
University Park

Salary
£35,608 to £47,389 per annum, depending on skills and experience.

Reference
MED
490326

We are seeking an enthusiastic and motivated researcher to join an exciting project investigating the genetic factors underlying accelerated brain ageing in people living with multiple sclerosis (MS). In this role, you will work with large-scale data resources, including genomic and transcriptomic datasets, and link these findings with population-based health record data.

You will be responsible for planning and conducting high-quality research using appropriate analytical and methodological approaches. This includes contributing to study design, implementing statistical and computational techniques, and interpreting complex datasets. A key part of the role will involve preparing your research outputs for publication in peer-reviewed journals and presenting findings within internal and external research networks.

This position also offers the opportunity to contribute creatively to the direction of the project—identifying promising areas for further investigation, developing new analytical methods, and strengthening your research portfolio in genomic medicine and neurodegenerative disease.

You will join a well-established and collaborative research group at the University of Nottingham, led by Dr Karim Kreft, Clinical Associate Professor and Honorary Consultant Neurologist. The team’s research focuses on leveraging genomic data to predict long-term MS outcomes, developing novel analytical methodologies, and ultimately improving clinical care to prevent disability progression.

In this role, you will also work closely with the Neurology team at Cardiff University and the data science experts at the SAIL (Secure Anonymised Information Linkage) Databank at Swansea University. This collaborative environment will provide excellent opportunities for cross-institutional learning, mentorship, and access to world-leading data resources.

You will hold a PhD—preferably in genomics, transcriptomics, data science, or a related discipline—and demonstrate strong skills in statistical programming, particularly in R and/or Python. Experience working with linked health records is desirable, as is familiarity with large-scale biological datasets. You should be able to work independently, communicate effectively, and contribute to team-based problem solving.

• A friendly, diverse and supportive research environment with excellent training and career‑development opportunities
• Generous holiday entitlement of 30 days (or pro rata) plus standard bank holidays and five university closure days including holiday between Christmas and New Year
• Reward scheme grants bonuses for excellent work
• Access to a range of benefits and rewards, including fitness and health facilities, staff discounts, and travel schemes

This is a full-time position and your working hours will be 36.25 hours per week for 18 months.

All applicants will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration.