Advanced Research Fellow

Type of Contract:  Funding-limited to 31 May 2028 (with possibility of further extension to 30 September 2028 if funding approved)

This post is an exciting opportunity for a highly motivated and ambitious individual to join our multi-disciplinary team of 10 statisticians based at the Institute of Applied Health Sciences (IAHS) and the School of Biological Sciences (SBS). Our welcoming and friendly team conduct innovative methodological research and provide statistical support for researchers across a range of disciplines including, medicine, genomics, ecology and environmental sciences. We also take a leading role in delivering highly valued teaching and training in applied statistics across the University and externally.

As a valued member of our team, you will contribute to the research strategies of the IAHS by providing statistical support to the project described below.  You will also have the opportunity to take an active role in developing and delivering our applied statistics and health data science courses to postgraduate students in the IAHS. 

The successful candidate will have a PhD in statistics/medical statistics/epidemiology with a high statistical content, a track record of collaborative research with medical scientists, including first and co-authored publications in internationally excellent peer-reviewed journals, and experience and an enthusiasm for teaching applied statistics to medical students at UG and/or PGT level. They will also possess a high level of proficiency and experience of using R (or equivalent package) to conduct statistical analysis and be an experienced team worker and will be accustomed to working to deadlines.

Salary will be at the appropriate point on the Grade 7 scale, 70% of £47,389 per annum.

Informal enquiries should be made to Dr David McLernon, Senior Research Fellow in Medical Statistics (01224 437152 / d.mclernon@abdn.ac.uk).

In accordance with the UKVI immigration rules, it is with regret that this role does not meet the salary requirements for sponsorship under the Skilled Worker route.  However, we will be able to support the successful candidate with applying for a Global Talent Visa.

To apply online for this position click the 'Apply' button above.

The closing date for the receipt of applications is 13 August 2026

The School of Medicine, Medical Sciences and Nutrition embraces a diverse working environment and recognises the many benefits this can bring.  Applications from individuals from across all of the equality protected characteristics are encouraged.

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