Research Fellow in Epidemiology & Statistics Full-time

Research Fellow In Epidemiology & Statistics

The Research Department of Behavioural Science and Health is dedicated to research on how human behaviour impacts health and health outcomes. Our research and teaching reflect our interdisciplinary approach to health and wellbeing, focusing on a broad range of public health issues, such as alcohol and tobacco use, heart disease, cancer, and obesity. Further information can be found at: www.ucl.ac.uk/epidemiology-health-care/research/behavioural-science-health

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).

The postholder will work across three projects, within which the focus of the work can be guided by the postholder's research interests. The first, a £1 million NIHR Advanced Fellowship (CLASP), is exploring whether community leisure activities can reduce youth anxiety and depression using epidemiological methods. The second project involves working with the EpiArts Lab, a partnership with the University of Florida, that uses epidemiological approaches with US cohort study data to explore whether arts engagement has long-term benefits for health. The third project explores the impact of Students' Union UCL activities and services on student wellbeing, belonging, skills, enjoyment, and other outcomes.

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 survey and cohort data using cross-sectional and longitudinal approaches, as well as causal inference methods. The candidate should also have proven data management experience, excellent oral and written communication skills, and a strong ability to work to deadlines.

As well as the exciting opportunities this role presents we also offer some great benefits some of which are below:

• 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
• Additional 5 days' annual leave purchase scheme
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan and expenses
• Relocation scheme for certain posts
• On-Site nursery
• On-site gym
• Enhanced maternity, paternity and adoption pay
• Employee assistance programme: Staff Support Service
• Discounted medical insurance

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

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.

We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong.

We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL's workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women.

Our department holds an Athena SWAN Silver Award, in recognition of our commitment to advancing gender equality.

You can read more about our commitment to Equality, Diversity and Inclusion here : https://www.ucl.ac.uk/equality-diversity-inclusion/