We are looking for a research assistant to support us for a short time with a number of projects in the Policy Institute's Evidence Development and Incubation Team.
The focus for the research assistant will be on a project looking at Londoners' experiences of housing security. The main tasks for this project will be to conduct an academic standard literature review, and to conduct analysis on a dataset consisting of surveys asked at three time points. This analysis will need to be carried out in R, and in accordance with the team's quantitative analysis handbook, which focuses on Tidyverse packages for data cleaning. Cleaning and analysis will be overseen and quality assured by experienced quantitative researchers in the team. Ideally this analysis will lead to publications in an academic journal. The research assistant will ideally have experience of academic publication or journal article writing, and would support with the identification of relevant journals, and write up of the results if time allows. The research assistant will be recognised as an author on journal articles published using analysis they conducted.
Depending on how the above work progresses, the research assistant may also provide assistance with other projects in the team, spanning social policy areas but with a primary focus on housing and homelessness. This may include for example, cleaning and preparing quantitative data sets for analysis, conducting background research and providing general project coordination support.
Important to Note: in your application, please outline datasets that you have analysed using R, and the packages and/or analysis you have used on those datasets.
The role is for 140 hours in the first instance; 35 hours/week for 4 weeks.
This can be done full-time or part-time, with a minimum of 20 hours/week (the end date of the role will be adjusted accordingly, for part time working, but must be no later than 29th November).
QualificationsUndergraduate or MA degrees (or currently completing) in relevant field (e.g. social sciences) or direct experience conducting quantitative analysis and/or policy research
SkillsEssential:
- Experience in carrying out quantitative cleaning and analysis in the R software environment using Tidyverse packages
- Experience conducting academic literature reviews
- Experience in policy research/social research
- Familiarity with housing and homelessness research or the homelessness sector
- Familiarity with academic journal writing/publishing
Desirable:
- Familiarity with carrying out qualitative data management, or a willingness to learn
- Experience working on quantitative or mixed methods research as part of a team
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