13090 - Research Fellow in Data Science

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

Job summary

A leading university in the UK is seeking 3 Post-Doctoral Research Fellows in data science/molecular epidemiology. These roles are fixed-term until August 2029 and include responsibilities such as conducting GWAS analyses and integrating DNAm datasets. A PhD in the relevant field and a track record in publications are required. The position offers a salary between £41,064 and £48,822 per annum and is office-based for a minimum of 3 days a week.

Qualifications

• Evidence of first author publications.

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

Ability to manipulate/analyse large datasets efficiently

Strong statistical analysis skills

Understanding of genetic/epigenetic epidemiology

Education

PhD in data science/molecular epidemiology

Job description

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.

• 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