Research Fellow in Data Science

The University of Edinburgh; City of Edinburgh; On-site; GBP 41,000 - 49,000; Full time

Job summary

A prestigious university in Edinburgh is seeking three full-time Post-Doctoral Research Fellows in Data Science/Molecular Epidemiology. This role focuses on utilizing DNA methylation data to explore healthy aging through data analytics. Successful candidates will have a PhD in a relevant field and experience handling large datasets. Salary ranges from £41,064 to £48,822 per annum, with the position office-based for at least 3 days a week.

Responsibilities

• Carry out GWAS analyses to identify mQTLs that are unique/shared between blood and saliva.
• Develop large-scale epigenetic clocks and DNAm signatures based on saliva biosamples.
• Integrate DNAm datasets with longitudinal eHealth records.

Skills

PhD in Data Science/Molecular Epidemiology

Ability to manipulate/analyse large datasets efficiently

Evidence of first author publications

Understanding of genetic/epigenetic epidemiology

Strong statistical analysis skills

Education

PhD

Job description

The Opportunity

Full-time: 35 hours per week

Fixed term: until 31/08/2029

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.

Salary and terms

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

£41,064 to £48,822 per annum, Grade UE07