Research Fellow A in Neurodevelopment and Quantitative Genetics

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The role

We are seeking an ambitious and highly motivated postdoctoral Research Fellow in quantitative genetics to join a multidisciplinary research team. The post involves working with a team based at the University of Surrey, King’s College London and the University of Oxford. The post is based at the University of Surrey with Professor Angelica Ronald. 

The project aims to advance understanding of the brain basis and common genetic architecture underlying infant and childhood neurodevelopment, with a particular focus on the development of autism spectrum conditions. Objectives will be achieved by applying advanced multivariate analytic methods to large-scale datasets emerging from genome-wide association studies of developmental traits. Existing datasets, including genetic, neuroimaging and clinical data, will be combined to generate novel insights into biological and developmental processes contributing to autism and related traits.   

You will be responsible for conducting a range of advanced quantitative analysis on secondary datasets incorporating genetic, neuroimaging and clinical data on child development. You will have responsibility for supporting integration across the study team including: overseeing data transfer agreements between institutions; version-controlling and archiving code and leading data cleaning, harmonisation and analysis. Throughout the project you will work with an interdisciplinary team of lead investigators and external collaborators. You will have access to advanced methodological training courses and other professional development training opportunities. You will lead on high-impact publications, conference presentations and dissemination of results.

About you

You should have a doctoral degree in a relevant discipline such as quantitative genetics, behavioural genetics, human genetics, developmental psychology, neuroscience and individual differences psychology (although individuals who have almost completed a doctoral degree may be appointed).  You will also have an undergraduate degree in a relevant discipline with a 2:1 or first-class grade (or international equivalent). You will already have some experience in conducting quantitative data analytic studies and preparing data for analysis and be proficient in using R, Python or similar programming language. You should have the ability to write clearly and concisely with a good publication record commensurate with the level of your career, and the ability to work independently with excellent organisation and communication skills.

How to apply

Please apply on the University website with your CV and cover letter explaining your suitability for the role.  

You are welcome to contact Prof. Angelica Ronald (a.ronald@surrey.ac.uk) if you would like further information or to discuss the post.

This is a two‑year fixed‑term role.

Interviews will be held 30^th April and 1^st May 2026

Further details

For more information and to apply online, please download the further details and click on the 'apply online' button above.

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