Research Fellow in Data Science

Haematological Malignancy Research Network
Edinburgh
3 months ago
Applications closed

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Data Science PhD internship (Operations Research)

Principal Data Scientist and Machine Learning Researcher

Fixed Term:

Until 31 August 2029


Full Time:

35 hours per week


The Opportunity:

A Postdoctoral Researcher Position in Data Science/Molecular Epidemiology is available within the Marioni Group at the University of Edinburgh. It is part of a BBSRC-funded grant ("Methylation Ageing by Lifestyle and Tissue biosample – MALT") into omics and healthy ageing.


The research project will utilise DNA methylation data from three large, Scottish studies across both blood and saliva (~35,000 samples in total). Together with two other PDRAs, the researcher will:



  • Carry out GWAS analyses to identify mQTLs that are unique/shared between blood and saliva,
  • Develop the first large-scale epigenetic clocks and lifestyle/environmental (e.g., pollution, vaping, alcohol consumption) DNAm signatures based on saliva biosamples,
  • Integrate the DNAm datasets with longitudinal eHealth records to build epigenetic signatures of healthy ageing, which we will then track longitudinally in parallel with other hallmarks of ageing using six waves of phenotype and DNAm data from the Lothian Birth Cohort of 1936.

The post is full-time (35 hours per week) and will be office-based for a minimum of 3 days a week. Part-time or remote working arrangements are not possible.


The salary for the post is £41,064 to £48,822 per annum.


Your skills and attributes for success:

  • PhD in data science/molecular epidemiology (or near completion)
  • Evidence of first author publications
  • Ability to manipulate/analyse large datasets efficiently
  • Understanding of genetic/epigenetic epidemiology
  • Strong statistical analysis skills

Apply Before: 09/12/2025, 23:59


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