Research Fellow A in Neurodevelopment and Quantitative Genetics

University of Surrey, Guildford, United Kingdom

The University of Surrey is seeking to appoint a Research Fellow A in Neurodevelopment and Quantitative Genetics within the School of Psychology. This role offers an opportunity to contribute to an innovative research programme investigating the genetic and developmental foundations of neurodevelopmental traits and outcomes using advanced quantitative and statistical genetic approaches.

The successful candidate will join a collaborative research environment focused on understanding how genetic variation contributes to neurodevelopment, cognition, behaviour, and mental health outcomes across development. The research will involve analysing large-scale genomic and phenotypic datasets from population cohorts and applying advanced statistical genetic methods to explore associations between genetic variants and neurodevelopmental traits.

The Research Fellow will contribute to the design and implementation of genetic analyses, including genome-wide association studies and related quantitative genetic approaches. The role will also involve integrating genetic data with developmental and behavioural measures to better understand the biological pathways underlying neurodevelopmental variation.

• Manage and analyse large-scale datasets.
• Implement statistical and computational approaches to genetic data analysis.
• Contribute to collaborative research initiatives within the School of Psychology.
• Prepare and disseminate research findings through peer-reviewed publications, conference presentations, and reports.
• Work closely with other researchers within the department and contribute to the broader research activities of the team.

• A PhD in genetics, statistical genetics, bioinformatics, psychology, neuroscience, epidemiology, computational biology, or a closely related quantitative discipline.
• Demonstrated research experience in human genetics, neurodevelopmental research, or quantitative behavioural science.
• Evidence of the ability to conduct independent research and contribute to collaborative academic projects.
• Experience in statistical genetics, quantitative genetics, or genetic epidemiology.
• Strong programming and data analysis skills using statistical computing environments such as R, Python, or similar tools.
• Experience analysing large-scale genomic datasets and conducting genome-wide association studies or related analyses.
• Strong quantitative and statistical analysis capabilities.
• Ability to manage and analyse complex datasets and develop reproducible research workflows.
• Excellent written and verbal communication skills for academic writing and presentation of research findings.
• Ability to work independently while collaborating effectively within interdisciplinary research teams.

Salary details: £37,694 to £38,784 per annum. Employment is full-time and fixed-term.