13090 - Research Fellow in Data Science
| Posting date: | 15 September 2025 |
|---|---|
| Salary: | £41,064 to £48,822 per year |
| Hours: | Full time |
| Closing date: | 06 October 2025 |
| Location: | Edinburgh, Scotland |
| Remote working: | Hybrid - work remotely up to 2 days per week |
| Company: | University of Edinburgh |
| Job type: | Contract |
| Job reference: | 13090 |
Summary
Grade UE07: £41,064 to £48,822 per annum
CMVM / Centre for Genomic & Experimental Medicine / Institute of Genetics and Cancer
Full-time: 35 hours per week
Fixed term: until 31/08/2029
The Opportunity:
3 Post-Doctoral Research Fellow positions in data science/molecular epidemiology are available within the Marioni Group at the University of Edinburgh. The posts will be fixed-term until 31/08/2029. These are part of a BBSRC-funded grant (“Methylation Ageing by Lifestyle and Tissue biosample – MALT”) into omics and healthy ageing.
The research projects will utilise DNA methylation data from three large, Scottish studies across both blood and saliva (~35,000 samples in total). We 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.
These posts are full-time (35 hours per week) and will be office-based for a minimum of 3 days a week.
The salary for these posts is £41,064 to £48,822 per annum.
Your skills and attributes for success:
PhD in data science/molecular epidemiology
Evidence of first author publications
Ability to manipulate/analyse large datasets efficiently
Understanding of genetic/epigenetic epidemiology
Strong statistical analysis skills
CMVM / Centre for Genomic & Experimental Medicine / Institute of Genetics and Cancer
Full-time: 35 hours per week
Fixed term: until 31/08/2029
The Opportunity:
3 Post-Doctoral Research Fellow positions in data science/molecular epidemiology are available within the Marioni Group at the University of Edinburgh. The posts will be fixed-term until 31/08/2029. These are part of a BBSRC-funded grant (“Methylation Ageing by Lifestyle and Tissue biosample – MALT”) into omics and healthy ageing.
The research projects will utilise DNA methylation data from three large, Scottish studies across both blood and saliva (~35,000 samples in total). We 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.
These posts are full-time (35 hours per week) and will be office-based for a minimum of 3 days a week.
The salary for these posts is £41,064 to £48,822 per annum.
Your skills and attributes for success:
PhD in data science/molecular epidemiology
Evidence of first author publications
Ability to manipulate/analyse large datasets efficiently
Understanding of genetic/epigenetic epidemiology
Strong statistical analysis skills