Research Associate (Quantitative Methods)

KINGS COLLEGE LONDON; United Kingdom; On-site; GBP 45,000 - 47,000; Full time

Job summary

A prominent research institution in London is seeking a Researcher to lead a project on mental health inequalities. The candidate will work closely with top researchers, utilizing longitudinal datasets and engaging with policy makers. Ideal for those with a PhD or equivalent experience and proven skills in statistical analysis. This full-time position offers a salary range of £45,031- £46,189.

Qualifications

• Experience in at least two of the following: Mental health epidemiology, Social Epidemiology, Social determinants of health, Working with data linkage.
• Experience of working with large-scale, longitudinal data.
• Strong written and verbal communication skills.

Responsibilities

• Lead research using longitudinal datasets to understand mental health.
• Work with policy makers and people with lived experience.
• Develop grant applications for external funding.

Skills

Mental health epidemiology

Social Epidemiology

Social determinants of health

Data linkage/ linked data

Statistical analyses

Proficiency in statistical packages (Stata, R, MPLUS)

Design of research programmes

Population mental health

Health inequalities research

Teaching related to mental health and quantitative methods

Publications in peer-reviewed journals

Communication skills

Ability to prioritise workload

Education

PhD or equivalent experience

Tools

Stata

R

MPLUS

Job description

Organisation/Company KINGS COLLEGE LONDON Research Field Educational sciences Researcher Profile Recognised Researcher (R2) Established Researcher (R3) Country United Kingdom Application Deadline 18 Nov 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

About the role

This is an exciting opportunity to come and work with us in the Centre for Society and Mental Health (KCL), across the Department for Psychological Medicine (IOPPN campus) and in partnership with the Centre for Longitudinal Studies (CLS) at UCL.

You will work closely with Professor Jayati Das‑Munshi (KCL) and Professor George Ploubidis and Dr Dario Moreno‑Agostino (UCL) in this partnership, to lead the work of the ‘Maximising the Value of Existing Cohorts’ or data hub, in the CSMH. In this role you will lead research using longitudinal datasets (cohorts) housed at CLS, UCL and elsewhere, to understand the antecedents and consequences of mental health over the life course, with a focus on inequalities. In particular, this is an exciting opportunity to work with novel data linkages (for example, population cohorts linked to health records or administrative data) and to extend the work of this hub which had previously explored intersectional and intergenerational differences in long‑term psychological distress trajectories.

You will be encouraged to consider the impact of your work by engaging with policy makers. In addition you will be supported to work with people with lived experience to inform your research. You will be encouraged to develop projects using cohort linkages to health and administrative data to examine population mental health inequalities. You will be supported to take a lead in the development of grant applications for external funding, to support the development of the research programme, and supported to contribute to the supervision of research students and to CSMH and KCL teaching, workshops and training events.

This is a full time post (35 hours per week), and you will be offered a fixed term contract for 2 years.

Applicants needs to be able to be based on location (Denmark Hill campus, IOPPN), London and willing to travel/ work at UCL, CLS (Institute of Education) and KCL CSMH (Strand Campus) (Central London), UK.

Key skills and experience required:

• Experience in at least two of the following: Mental health epidemiology, Social Epidemiology, Social determinants of health, Working with data linkage/ linked data
• Experience of working with large-scale, longitudinal data (eg. population cohorts, health records, etc)
• Proficiency in statistical analyses and use of relevant statistical packages (Stata, R, MPLUS etc.)
• Experience in leading design of research programmes
• Research expertise in population mental health and health inequalities
• A record of teaching related to mental health and/or quantitative methods
• Track record of publications in peer reviewed scientific journals
• Strong written and verbal communication skills including the ability to write clearly and concisely, and to present to both academic and non-academic audiences.
• Ability to present information on research progress and outcomes to supervisory team
• Ability to prioritise a varied workload to meet deadlines while maintaining a high level of accuracy

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

*Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.*

Further information

We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community.

We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's.

As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages.

Interviews are due to be held in early / mid December

Grade and Salary: £45,031- £46,189 per annum, including London Weighting Allowance

Job ID:129765

Close Date:18-Nov-2025

Contact Person: Professor Jayati Das‑Munshi

Contact Details: [e-mail]