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Research Associate/Data Analyst

Closing date: 
Wednesday, 23 March 2022

Department of Psychiatry

We are looking to appoint a data analyst for one year to work on datasets held at the Autism Research Centre (ARC). The ARC is a lively, friendly and diverse set of scientists in the University of Cambridge who conduct both basic and applied research to understand the causes of and interventions for autism. See www.autismresearchcentre.com

We have various datasets, some in the Cambridge University Autism Research Database (CARD) as raw data, some partly analysed, and some derived from other sources. CARD contains 10,000 autistic people and 20,000 parents of autistic children, so is one of the largest research databases for autism internationally. CARD has collected multiple types of data: psychological, cognitive, questionnaire, epidemiological, policy related, medical, hormonal, genetic, neuroimaging, etc.

The appointee will be responsible for statistical analysis, writing up and publishing datasets which will accelerate understanding about autism and lead to improvements in the health and well-being of autistic people and their families. The role will include writing up research for scientific publications, and interacting with the lead investigator and wider project teams. This is an opportunity for a postdoc to have co-authorship on publications based on existing data, where papers could be completed within a short timeframe. The appointee will benefit from all the other steps in research (design, ethical approval, recruitment and data collection) already being complete.

https://www.jobs.cam.ac.uk/job/33771/

About us

The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science and AI. C2D3 is an Interdisciplinary Research Centre at the University of Cambridge.

  • Supports and connects the growing data science and AI research community 
  • Builds research capacity in data science and AI to tackle complex issues 
  • Drives new research challenges through collaborative research projects 
  • Promotes and provides opportunities for knowledge transfer 
  • Identifies and provides training courses for students, academics, industry and the third sector 
  • Serves as a gateway for external organisations 

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