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GLAD Post-Doctoral Research Associate – Data Analyst

King's College London - Social, Genetic & Dev Psychiatry

Location: London
Salary: £45,031 to £52,514 per annum, including London Weighting Allowance
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 16th December 2025
Closes: 11th January 2026
Job Ref: 133786

About us

The post will be based in the KCL Social, Genetic, and Developmental Psychiatry Centre, within the Institute of Psychiatry, Psychology and Neuroscience (IoPPN).

The centre offers a diverse research environment that is open, welcoming and supportive to all. The faculty-wide initiatives are supported by an active Diversity & Inclusion Team.

The Social, Genetic & Developmental Psychiatry (SGDP) Centre is uncovering the genetic and environmental influences on mental health and psychiatric disorders. Our research encompasses behavioural genetics, molecular genetics, experimental psychology and psychiatry, and neuroimaging. Scientists at the SGDP lead some of the UK’s foremost longitudinal cohort and twin studies including TEDS, eRISK, Dunedin, IMAGEN and GLAD.

The NIHR BioResource Centre Maudsley leads the NIHR BioResource for Mental Health. We focus on recruiting participants experiencing mental health conditions, as well as healthy people.

Alongside GLAD MHG and The  GLAD study, Prof. Breen’s team boasts an accomplished portfolio of clinical and genetic studies which aim to improve treatment and outcomes for those affected by anxiety, depression, eating disorders and other mental health conditions.

About the role

We are seeking a highly motivated postdoctoral Research Associate in research data science and analysis to join Professor Gerome Breen’s internationally recognised team at King’s College London. This post will support the delivery of the Genetic Links to Anxiety and Depression – Mental Health Goals (GLAD-MHG) Omics Cohort, one of the UK’s most ambitious precision psychiatry initiatives, hosted within the NIHR BioResource Centre Maudsley.

Despite being a leading cause of disability worldwide, Major Depressive Disorder (MDD) is an underserved market segment with significant unmet medical need, GLAD MHG will leverage proven success and substantial investment from KCL, Maudsley and NIHR BioResource in the GLAD study to create a trial-ready dataset integrating detailed phenotyping, multi-omics, and medical records to support MDD precision psychiatry.

The GLAD Study is the largest anxiety and depression project ever undertaken. The study is part of the  National Institute of Health Research (NIHR) BioResource. It is led by researchers at King’s College London, in collaboration with researchers at Ulster University, University of Edinburgh, and Cardiff University. GLAD was launched in September 2018, and over 30,000 participants have fully enrolled.

This role offers the opportunity to work with one of the world’s largest, deeply characterised mental health cohorts, and will be integrated with the highly supportive departmental environment of the Social, Genetic, and Developmental Psychiatry Centre. You will be applying cutting-edge multi-omic, AI, and data science approaches to address urgent challenges in major depression. The successful candidate will have formal mentoring and gain experience at the interface of academia, healthcare, and industry, contributing to discoveries that shape the future of precision psychiatry.

This is a full-time (35 hours per week), and you will be offered a fixed-term contract for 2 years with the possibility of extension; earliest start date 1st of April 2026.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the  Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research & Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the  Centre for Research Staff Development for more information.

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.


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