This post represents an exciting opportunity to undertake high-impact research with the UK’s national birth cohort studies using rigorous quantitative methods. The appointee will lead on the analysis of quantitative data from the CLS based and other cohorts including the recent COVID19 Web Survey to investigate the social, economic and health impacts of the pandemic. The successful appointee will be expected to develop an independent research career, and will be supported in doing so. The project will be funded by ESRC and NIHR.
You will have a background in quantitative social science, demography, epidemiology or statistics. The role will involve planning research studies, including developing analysis protocols, and conducting analyses using UK birth cohorts and longitudinal surveys.
You will be working collaboratively with other CLS researchers and a wider consortium of researchers within the Longitudinal Health and Wellbeing National Core Study and will produce high-quality research outputs, including writing manuscripts for publications.
This post will be funded for 24 months in the first instance.
The successful candidate will hold a doctorate degree or have an equivalent work experience in quantitative social science (e.g., demography, economics, psychology, sociology), epidemiology or statistics.
You have experience in publishing empirical research findings in peer viewed academic journals as well as demonstrable experience in leading the development of new projects and obtaining grant funding.
It is desirable for this role that you have commitment to mentoring postgraduate students and have an experience working with electronic health or other routine administrative data.
Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6b(salary £31,542- £33,257 per annum, inclusive of London Allowance) with payment at Grade 7 being backdated to the date of final award of the PhD thesis.