Senior Research Fellow in Applied Statistics or Data Science at UCL

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Senior Research Fellow in Applied Statistics or Data Science at UCL

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[ad_1] About us About IOE IOE is UCL Faculty of Education and Society. Founded in 1902, IOE has been shaping policy and helping gover

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About us

About IOE

IOE is UCL Faculty of Education and Society.

Founded in 1902, IOE has been shaping policy and helping government, organisations and individuals navigate a changing society for the last 120 years. We embrace collaboration and excellence to create a future that is inclusive and just, and have been ranked number one for education every year since 2014 in the QS World University Rankings by Subject.

The Centre for Longitudinal Studies is an ESRC Resource Centre. CLS has responsibility for and manages four of Britain’s internationally renowned cohort studies:

  • 1958 National Child Development Study (NCDS)
  • 1970 British Cohort Study (BCS70)
  • Millennium Cohort Study (MCS)
  • Next Steps (formerly the Longitudinal Study of Young People in England)

The cohort studies follow individuals throughout their lives. They involve multiple surveys, together with other specialised forms of data collection (for example physical measurements and biological samples), and linkages to administrative records. The information collected is broad, covering areas as diverse as education, employment, and income, family and parenting, physical and mental health, and social attitudes. As well as conducting regular surveys of the cohorts, CLS delivers a strong interdisciplinary research programme based on the cohorts, as well as programmes of research on survey methodology and statistical methods.

Our academic staff specialise in applying advanced quantitative methods to the cohorts data to produce high quality research and inform policy in areas such as education, health, labour markets, child development, child and adult wellbeing, and ageing.

About the role

The purpose of the job is to work on a new UKRI-funded project led by Dr. Felix C. Tropf which uses big data from social and biological science to explain and predicting social and health inequalities. The research will entail analysing social and biological information from large-scale surveys and population registers to explain inequalities in our wealth, health, and family planning.

The project will also contribute to the methods development in Multi-Level/Hierarchical Modelling and Data Science. Data sources will include, but is not limited to, population registers and various national and international surveys. The successful candidate will take a leading role in the quantitative analyses and methods development, writing of the research papers and of their publication in leading journals, as well as playing a key role in dissemination.

This post is available until 31st August 2026 in the first instance.

About you

You will have or be working towards completion of a PhD in statistics, data science or a quantitative empirical discipline such as genetic epidemiology, sociology or economics, along with expertise in statistical software such as Stata, R, and/or other relevant statistical software.

You will also have experience of using advanced quantitative methods to analyse large-scale datasets and the ability to prioritise a varied workload and work under pressure to meet deadlines while maintaining a high level of accuracy.

Your application form should address all the person specification points and should clearly demonstrate how your skills and experience meet each of the criteria.

It is important that the criteria are clearly numbered and that you provide a response to each one.

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