Research Fellow A in Neurodevelopment and Quantitative Genetics

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.

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• Conduct a range of advanced quantitative analyses on secondary datasets incorporating genetic, neuroimaging and clinical data on child development.
  
• Support integration across the study team, including overseeing data transfer agreements between institutions.
  
• Version-control and archive code; lead data cleaning, harmonisation and analysis.
  
• Collaborate with an interdisciplinary team of lead investigators and external collaborators.
  
• Seek and engage in advanced methodological training courses and other professional development opportunities.
  
• Lead on high-impact publications, conference presentations and dissemination of results.
  

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• Doctoral degree in a relevant discipline such as quantitative genetics, behavioural genetics, human genetics, developmental psychology, neuroscience and individual differences psychology (or near completion).
  
• Undergraduate degree in a relevant discipline with a 2:1 or first-class grade (or international equivalent).
  
• Experience in conducting quantitative data analytic studies and preparing data for analysis.
  
• Proficiency in using R, Python or similar programming languages.
  
• Ability to write clearly and concisely with a good publication record commensurate with career level, and the ability to work independently with excellent organisation and communication skills.
  

The University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve — shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively and individually make a real difference. In return we offer a generous pension, relocation assistance where appropriate, flexible working options including job share and blended home/campus working locations (dependent on work duties), access to world-class leisure facilities on campus, a range of travel schemes and supportive family-friendly benefits including an excellent on-site nursery.