About us
The position will involve working in Professor Daisy Fancourt’s Social Biobehavioural Research Group, whose research focuses on how social connections and behaviours impact people’s health. By conducting cutting edge interdisciplinary research, UCL-SBB aims to determine how our health is influenced by both social ‘assets’ and ‘deficits’. These include social relationships, arts, culture and leisure (assets), as well as loneliness, isolation, and social restrictions (deficits).
About the role
This position is part of a £1 million NIHR Advanced Fellowship (CLASP) led by Dr Jess Bone, which tests whether community leisure activities could have a role in preventing youth anxiety and depression. The post holder will use epidemiological methods with a range of cohort and panel studies, supporting the project through managing and cleaning datasets, undertaking longitudinal data analyses, and using statistical methods for causal inference.
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About you
The candidate should hold a PhD in statistics, medical statistics, epidemiology, quantitative social science, or other relevant discipline, and be a highly motivated individual with experience in analysing cohort data using advanced longitudinal and causal inference methods. The candidate should also have excellent oral and written communication skills and a strong ability to work to deadlines.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent.
You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/
Customer advert reference: B02-10558
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