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Postdoctoral Research Fellow in Molecular Epidemiology

Remote / Online - Candidates ideally in
City of Edinburgh, Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listing for: University of Edinburgh
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-03-07
Job specializations:
  • Research/Development
    Research Scientist
  • Healthcare
Salary/Wage Range or Industry Benchmark: 41064 - 48822 GBP Yearly GBP 41064.00 48822.00 YEAR
Job Description & How to Apply Below
Position: 13725 - Postdoctoral Research Fellow in Molecular Epidemiology
Location: City of Edinburgh

Grade UE07: £41,064- £48,822 per annum

CMVM / School of Genetics and Cancer

Full-time: 35 hours per week

Fixed-term: 36/48 months

Vacancies available: 2

The Opportunity:

An MRC-funded grant ("Blood- and saliva-based DNA methylation biomarkers of disease") which will explore epigenetic biomarkers of organ ageing, proteins and disease. A 2-year post in statistical genetics under the supervision of Prof Matt Robinson (IST, Vienna) will also be announced in due course to complement the two Edinburgh-based posts.

The research project will utilise DNA methylation data from three large, Scottish studies across both blood and saliva (~35,000 samples in total). The researchers will:

  • Build epigenetic biomarkers for 11 organ age estimates (see PMID: ) and 10,000 proteins (see PMID: ) using longitudinal data from 800 members of the Lothian Birth Cohort 1936.
  • Test these biomarkers in a subset of 1,000 volunteers from Generation Scotland.
  • Determine which biomarkers correlate across biosamples (blood and saliva)
  • Apply the biomarkers to blood-based DNAm from 19,000 Generation Scotland volunteers and to saliva-based DNAm from 11,000 independent Generation Scotland volunteers before studying their associations with the incidence of 174 disease outcomes plus all-cause mortality.
  • Build pipelines to replicate findings through two international consortia projects
    - GoDMC and DEEP.
  • Develop and apply a novel multivariate GWA framework to identify the shared and unique SNP correlates of a measured protein and its DNAm analogue.
  • Use summary-level bivariate associations between the omics layers (SNPs, CpGs, Epi Scores and proteins) and disease outcomes to build graph models that identify age-specific causal pathways.

These posts are full-time (35 hours per week) and will be office-based for a minimum of 3 days a week. The research management team includes Riccardo Marioni, Simon Cox, Sarah Harris (Edinburgh), Matthew Robinson (IST, Vienna) Josine Min and Hannah Elliott (Bristol) alongside project partners Profs Tony Wyss-Coray (Stanford) and Dan Belsky (Columbia). 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 molecular/epigenetic epidemiology.
  • Outstanding track record of first author publications.
  • Ability to mentor students/postdocs and to design and manage research projects.
  • Excellent understanding of genetic/epigenetic epidemiology.
  • Strong statistical analysis skills.
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