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Research Associate (Fixed Term)

Closing date: 
Monday, 11 July 2022

MRC Biostatistics Unit

The MRC Biostatistics Unit is seeking an ambitious and motivated individual to contribute to exciting research at the intersection of computational statistics and cutting-edge genomics. The post holder will develop Bayesian hierarchical approaches to model genetic regulation across diverse human conditions (tissues, cell types, diseases) and explore how the dynamics of this regulation contributes to disease risk and progression. He/she will conduct original research at the MRC Biostatistics Unit, Cambridge University, working with Dr Hélène Ruffieux and Prof. Sylvia Richardson.

The MRC Biostatistics Unit is a leading centre of biostatistics research in Europe. It hosts four research programmes with the aim to respond to current and future scientific needs in health and biomedicine. The successful applicant will be part of the "Statistical genomics" programme which develops and applies methodological and computational approaches for complex molecular data to clarify the biological processes behind human diseases and provide actionable treatment insights.

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 
  • Acts as a gateway for external organisations 

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