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Research Assistant / Associate (Biostatistician/Machine Learning and AI Scientist/Health Data Scientist/Analytical Epidemiologist)

Closing date: 
Sunday, 21 January 2024

Department of Public Health and Primary Care, Cardiovascular Epidemiology Unit

An exciting opportunity has arisen for a new analytical and methodological role in the Cardiovascular Epidemiology Unit (CEU), Department of Public Health and Primary Care.

The post-holder will contribute to the development and application of analytical methods (including statistics, machine learning and/or AI) to address major population health questions related to the prevention of multiple chronic diseases (including cardiovascular disease, diabetes, cancers and chronic kidney disease). This will involve deriving and validating new risk prediction models, performing cost-effectiveness evaluations through simulation modelling, and designing and conducting proof-of-principle randomised controlled trials.

https://www.jobs.cam.ac.uk/job/44480/

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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