Applications are invited for a post-doctoral research associate position in data science and statistical epidemiology with applications to dementia.
The successful candidates will have an opportunity to work with the Generation Scotland study – Scotland’s premier epidemiology cohort and one of the best characterised omics studies in the world. By applying/developing cutting-edge statistical and machine learning methods, they will refine both dementia risk prediction and our understanding of the molecular mechanisms that underlie disease pathogenesis and associated risk factors.
Genome-wide genetic, epigenetic, and proteomic data are available for 20,000 participants. These are complemented by ongoing longitudinal data linkage (1980s – present) to NHS electronic health records including GP, hospital, and prescription data.
Both posts will involve funded research trips to Vienna to work with Co-I and collaborator, Prof Matthew Robinson, who is an expert in the development and application of Bayesian methods for the analysis of high dimensional omics data.
For informal enquiries please contact Dr Riccardo Marioni (firstname.lastname@example.org)
Your skills and attributes for success:
- PhD in genomics, biostatistics, epi/genetic epidemiology or similar.
- We also welcome applications from those with a PhD in computer science, physics, applied statistics or similar, who are interested in moving field.
- Experience working with big datasets and programming
- Excellent understanding of linear regression, GLMs and related statistical approaches.
- Proven record in scientific publication, with several first author papers in prominent journals.
Closing date 29th June 2021, 5pm.
To apply for this job please visit elxw.fa.em3.oraclecloud.com.