Qualitative job alert: Research Associate Diabetes UK

08 Apr 2024
insulin pen, diabetic measurement tools and pills on orange background

Salary: £43,205 to £50,585 including London Weighting Allowance.

Closing date: 16 April 2024.

Contact details: Chris Tang. chris [dot] tang [at] kcl [dot] ac [dot] uk

Location: Waterloo Campus

Full details & how to apply

The Centre for Language, Discourse and Society are seeking to recruit an organised, reliable and enthusiastic qualitative researcher with a background in linguistics to work on the Diabetes UK-funded project: Multimedia messaging to reduce diabetes related stigma. The project will develop and explore the impact of multimedia messaging resources and communication tools to address the impact of stigma in women with gestational diabetes mellitus (GDM). GDM involves high blood sugar that develops during pregnancy and usually resolves following birth. Stigma plays a significant role in the health behaviours of women during and following GDM pregnancies, impeding engagement with personal health.  

Drawing on cognitive linguistic theories, the study will identify the linguistic and contextual triggers of stigma and their emotional and behavioural consequences. The analysis will be used to generate a model of the key triggers so they can be mapped onto anti-stigma interventions.  

The Centre for Language Discourse and Communication is a research centre within the School of Education Communication and Society and the successful candidate will join an interdisciplinary team made up of linguists, health researchers and film specialists.  

The responsibilities of the post will be to lead 10-12 focus group discussions with women who have experience of GDM, their family members and partners, and healthcare professionals. The postholder, supported and trained by the linguists on the team, will conduct a qualitative, cognitive linguistic analysis of the transcribed audio recordings. They will work within a team of health researchers and film specialists in drawing out the implications of the analysis for anti-stigma modelling and interventions.