Research Fellow - Population Mental Health (intersectional inequalities in youth mental health)

UCL AI Centre; London; Hybrid; GBP 43,000 - 52,000; Full time

Job summary

A leading educational institution is seeking a Research Fellow to engage in an innovative project studying social inequalities affecting youth mental health. This role involves data management and collaborating closely with young people and research teams to produce impactful results.

Benefits

41 days annual leave

Defined benefit pension scheme

Cycle to work scheme

On-site nursery and gym

Employee assistance programme

Qualifications

• PhD (or equivalent experience) in relevant fields.
• Experience managing data from longitudinal studies.
• Contributions to youth mental health essential.

Responsibilities

• Lead data management and quantitative analysis.
• Write manuscripts and reports.
• Coordinate outputs management and workshops.

Skills

Data management

Quantitative analysis

Interdisciplinary collaboration

Youth mental health expertise

Education

PhD in population mental health, psychiatric epidemiology, or quantitative social science

Job description

Ref Number B16-01691 Professional Expertise Research and Research Support Department School of Education (B16) Location London Working Pattern Full time Salary £43,374 £51,860 Contract Type Fixed-term Working Type Hybrid Available for Secondment No Closing Date 07-Aug-2025

About Us

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 Social Research Institute is one of the leading centres for social research in the UK. It is home to seven internationally renowned research units. All of our centres are multidisciplinary, with staff drawn variously from economics, sociology, social policy, demography, psychology, anthropology and social statistics. We promote problem-solving interdisciplinary research on particular themes where we have outstanding scholarship and critical mass, e.g. gender, families, work, inequalities, migration, bio-social interactions.

About The Role

We are recruiting a Research Fellow to work on an exciting project focused on applying multiple quantitative approaches consistent with intersectionality theories to study social inequalities in youth population mental health.

Throughout the project, existing data from multiple cohort studies in the UK will be brought together. Novel quantitative methods will be used and developed to analyse how intersectional inequalities in youth mental health differ across generations, geographical areas, and over time. Using an intersectional lens and embedding the voices of young people from different intersectional positions, the project will acknowledge how different social identities and positions intersect resulting in unique experiences and mental health outcomes.

You will take a leading role in the data management and quantitative analysis, write-up of manuscripts and reports, and coordination of outputs management. This includes capacity-building materials such as annotated code, interactive workshops, and written tutorials on how to implement/reproduce the different analytical strategies used.

The project will be conducted in close collaboration with young people, and you will work closely with the project’s youth lived experience advisory board and contribute to the co-produced outputs. You will be encouraged to collaborate across other projects within the team to maximise the synergies between these and with other activities within the wider research team.

Please be aware that any offer of employment will be subject to a Disclosure and Barring Service (DBS) check.

About You

With A PhD (or equivalent experience) in population mental health, psychiatric epidemiology, quantitative social science, quantitative psychology, or similar area (awarded or near completion), you will also have experience managing and analysing data from at least one existing longitudinal population-based study.

Demonstrable contributions to the field of youth mental health and/or social psychiatry and psychiatric epidemiology are also essential.

For further queries please contact Dario Moreno-Agostino: [e-mail]

This post is initially available for two years in the first instance, with the possibility to be extended further depending on funding.

What we offer

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 (pro rata for part time staff)
• Additional 5 days’ annual leave purchase scheme (pro rata for part time staff)
• Defined benefit career average revalued earnings pension scheme (CARE)
• Cycle to work scheme and season ticket loan
• Immigration loan
• 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.

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. 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 faculty holds an Athena SWAN SILVER award, in recognition of our commitment to advancing gender equality.

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

• download: Candidate Information Pack_RF96-DM.pdf