The IOE’s Department of Social Science are looking for a research assistant who will be responsible for the preparation and analysis of Age 14 data from the Millennium Cohort Study (MCS). He/she will also contribute to funding proposals as well as the drafting and submission of papers to academic journals. The ability to work as part of a team is essential.
This post is based in the IOE’s Department of Social Science, where CLOSER is also based. This post is not based in CLOSER.
Closing Date: 28 Nov 2016. Latest time for the submission of applications 23.59
Interview date: TBC
A job description and person specification can be accessed on the UCL job page.
Salary will be at Grade 6 in the range £29,809 – £31,432 per annum pro rata, including London Allowance.
To apply for this vacancy, please click on ‘Apply Now’ .
Duties and Responsibilities
Applications are invited for a Research Assistant position in the Department of Social Science (DSS) which houses the Centre for Longitudinal Studies (CLS), an ESRC Resource Centre. CLS has responsibility for four of Britain’s internationally renowned birth cohort studies: NCDS, BCS70, MCS, and Next Steps.
The Research Assistant will prepare and conduct analysis of the MCS age 14 data in combination with data from the previous five waves of the study, while contributing to drafting highly accessible briefings based on this data. As well as contributing to the drafting and submitting of papers to academic journals, you will present your findings to a range of different audiences, contribute to funding proposals for further research and contribute to the development of plans for MCS age 17 sweep and a programme of record linkage. You will contribute to workshops, participate in user support and advice activities.
This appointment is available immediately until 30 September 2017 in the first instance.
Applicants should have a Post Graduate Degree in a quantitative social science discipline or other quantitative health-related discipline, and will have demonstrable knowledge of research techniques, excellent research skills and advance quantitative methods for longitudinal analysis. You should have the ability to analyse and write up data, while having experience of multi-disciplinary working, experience in statistical software, and a strong commitment to high quality research with a research interest in topics addressed, using data from the Millennium Cohort Study, used either on its own or in combination with other data sources. You should also have strong communication (written and verbal) and interpersonal skills including the ability to write clearly and concisely, and to present to both academic and non-academic audiences. The ability to work as part of a team is essential.
Experience of working with the cohort studies managed by CLS and working in a research environment, is not essential but would be an advantage.
For further details about this post, please contact Professor Emla Fitzsimons, Principal Investigator of the Millennium Cohort Study, (T: 0207 331 5129; E: email@example.com).