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Data Scientist

Closing date: 
Thursday, 6 April 2023

MRC Epidemiology Unit

The MRC Epidemiology Unit is seeking to appoint a Data Scientist with expertise in scientific programming and time-series data processing.

This position is based in the Unit's Physical Activity Epidemiology Programme. The primary role of this post is to support research in the area of physical activity, sedentary behaviour and sleep, by applying different data processing methods to measurements in large population studies. Examples include data collected from wearable sensors such as raw triaxial acceleration at 100-Hz resolution over a week in 1000s of participants.

Alongside a competitive salary, University staff are eligible for a comprehensive package of benefits and services include discounts on shopping, health care, financial services and public transport. We also offer defined benefits pension schemes and tax-efficient bicycle and charity-giving schemes.

The MRC Epidemiology Unit is a department within the University of Cambridge's School of Clinical Medicine and is situated within the Institute of Metabolic Science on the Cambridge Biomedical Campus. Its mission is to study the genetic, developmental and environmental factors that cause obesity, diabetes and related metabolic disorders and develop strategies for their prevention. The Unit benefits from a number of large-scale, cross programme epidemiological studies with detailed datasets allowing a wide range of research from genetics to public health. Highly experienced information teams and other specialist teams support the scientists in the delivery of their research aims.

https://www.jobs.cam.ac.uk/job/40193/

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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