Research Fellow

Updated: 24 days ago
Location: Aberdeen, SCOTLAND
Job Type: PartTime
Deadline: 02 Apr 2024

The Epidemiology Group is seeking to recruit a Research Fellow with a background in Mathematics or Biostatistics. The appointed candidate will work on the following projects. Firstly, the CAPE consortium of the Advanced Pain Discovery Platform which seeks to understand the role of adversity in childhood on the experience of chronic pain as an adult. It involves bringing together data from diverse cohort studies  across the world which can help to answer this question. You can read more about work on this project here: Consortium Against Pain InEquality (CAPE) | The Institute of Applied Health Sciences | The University of Aberdeen (abdn.ac.uk) . Secondly the British Society for Rheumatology Registry in Psoriatic Arthritis (BSR-PsA) a UK-wide study collecting data on patients, some of whom are commencing disease modifying drugs. In this project we are particularly seeking someone with skills in dealing with missing data specifically in imputation methods: https://www.abdn.ac.uk/iahs/research/epidemiology/bsrpsa-1469.php


School/Section

Medicine, Medical Sciences & Nutrition


Division

Institute of Applied Health Sciences


Duration of Post

Funding/Activity Limited


The Epidemiology Group (www.abdn.ac.uk/epidemiology) within the School of Medicine, Medical Sciences and Nutrition aims to determine the epidemiology of specific clinical conditions, with a focus on modifiable risk factors; and to use this information to inform the design of clinical trials of management and public health interventions with a goal of improving outcomes for patients and the public. In doing so we are part of the Aberdeen Centre for Arthritis and Musculoskeletal Health (ACAMH); www.abdn.ac.uk/acamh .

The programme has approximately 25 staff affiliated in academic, research and research support roles. The largest part of the research programme is in Rheumatic and Musculoskeletal Conditions and a specific area of interest is in chronic pain. As part of an award from the Medical Research Council within their Advanced Pain Discover Programme (APDP) our Consortium Against Pain InEquality (CAPE) has been funded to investigate the impact of adverse childhood experiences on chronic pain and responses to treatment. We also have a drug registry programme, which involves three national registries focussed on novel antimicrobial agents (in collaboration with the British Society for Antimicrobial Chemotherapy) and biologic therapies (in collaboration with the British Society for Rheumatology).   We therefore seek to make an appointment of a Research Fellow with a primary qualification in Mathematics or Statistics to undertake work on these projects.

The work package of the CAPE consortium being led by the University of Aberdeen will involve collection and/or analysis of information on adverse events in early life in large scale cohorts, in order to assess the relationship with the reporting of chronic pain in adult life.  A new questionnaire has been developed to measure adverse events in childhood and we will seek to work with new and existing partners to use this questionnaire to collect information from existing cohorts. In relation to drug registries it will involve analysis of the collected data.

Salary will be at the appropriate point on the Grade 6, 60% of £37,099 per annum.

Informal enquiries should be made to Professor Gary J Macfarlane ([email protected] ).

This post does not meet the minimum requirements for visa sponsorship under the Skilled Worker Route. We are therefore unable to consider applicants for this post that require sponsorship to work in the UK. 

To apply online for this position visit www.abdn.ac.uk/jobs

Job Reference Number:  IHS157R

The closing date for the receipt of applications is 02 April 2024

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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