13725 - Postdoctoral Research Fellow in Molecular Epidemiology
| Dyddiad hysbysebu: | 02 Mawrth 2026 |
|---|---|
| Cyflog: | £41,064 i £48,822 bob blwyddyn |
| Oriau: | Llawn Amser |
| Dyddiad cau: | 16 Mawrth 2026 |
| Lleoliad: | Edinburgh, Scotland |
| Gweithio o bell: | Hybrid - gweithio o bell hyd at 2 ddiwrnod yr wythnos |
| Cwmni: | University of Edinburgh |
| Math o swydd: | Cytundeb |
| Cyfeirnod swydd: | 13725 |
Crynodeb
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: 38057571) and 10,000 proteins (see PMID: 41361833) 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, EpiScores 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.
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: 38057571) and 10,000 proteins (see PMID: 41361833) 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, EpiScores 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.