Please note the deadline for this post has been extended to 22nd December
Research Fellow in Biostatistics, University of Leeds, full time, fixed term for 1 year
Working on a number of projects in the genetic epidemiology and pharmacogenetics of musculoskeletal and vascular disease, your research will include analysis of data from large-scale genetic association studies in UK and international cohorts of patients with giant cell arteritis.
You will also contribute to the work of the Medical Research Council/Arthritis Research UK-funded MATURA consortium (Maximising Therapeutic Utility for Rheumatoid Arthritis: A stratified medicine approach for rheumatoid arthritis), which is a national consortium aiming to identify genetic and genomic markers to predict which patients with rheumatoid arthritis will respond best to which treatment.
You will be based in the Statistical Genetics group in the Section of Epidemiology and Biostatistics at Leeds Institute of Data Analytics (LIDA), in the Worsley Building, University of Leeds.
The successful applicant will have a first degree and PhD (or close to completion) in a relevant quantitative field such as epidemiology, statistics or a closely allied discipline, OR an MSc and substantial research experience in biostatistics
The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies<http://hr.leeds.ac.uk/homepage/4/policies>. The University is a charter member of Athena SWAN and holds the Bronze award. The School of Medicine gained the Silver award in 2016.We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees.
University Grade 7 (£33,199 to £39,609 per annum) depending on qualifications and experience.
Informal enquiries regarding the post should be directed to Professor Jenny Barrett ([log in to unmask]<mailto:[log in to unmask]><mailto:[log in to unmask]><mailto:[log in to unmask]>) or Professor Ann Morgan ([log in to unmask]<mailto:[log in to unmask]><mailto:[log in to unmask]><mailto:[log in to unmask]>)
Job Ref: MHCAP1155 Closing Date: 22nd December 2018
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