Job Description
The project is part of an overall research programme led by dr. Josefien Breedvelt, funded by the Prudence Trust, that aims to advance our understanding on the targeting, personalisation and implementation of depression and anxiety prevention interventions for children and young people.
You will be working on quantitative sub-study, which aims to identify risk groups for prevention, and an individual participant data meta analysis.
You will be leading on the analysis and write-up of the results, and data harmonisation for the IPDMA. You will also support the study team with literature reviews (where needed) as well as leading the development of an RShiny package for data harmonisation.
QualificationsEssential:
- BSc (or in the process towards obtaining a BSc) psychology and/or a related mental health science area with a strong quantitative analysis component
Desirable:
- Experience with applied quantitative analysis of longitudinal cohort data and randomised controlled trials data harmonisation
- Experience with working as a member of a team with a dynamic portfolio of research activities at any given time
Skills- Experience analysing quantitative data, reporting and data harmonisation
-Experience in statistical coding language
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