The role requires knowledge of Mendelian randomization (MR) techniques, developing statistical methods to test and improve MR on GWAS data, and working with genomic UK biobanks. Qualified applicants should have training in mathematics, biostatistics, or statistical genetics. Applicants should have the ability to collaborate well and communicate scientific materials to non-scientists.
This research aligns with the University of Sheffield’s strategic goals of service to the community. It will contribute to population and medical knowledge and improve precision medicine-based approaches. It will serve to enhance public awareness of shared history and improve our knowledge of the past and the methods to study it. The project will provide training opportunities for students and early career researchers. The candidate will have an opportunity to participate in research and software development related to population genetics.
Candidates are expected to have an interest in biology, human evolution, or anthropology alongside strong computational skills with background in mathematics, statistics, physics, computer science, or a related field. Candidates are also expected to have a fundamental knowledge and experience with Mendelian randomization. The candidate will work jointly with Dr. Eran Elhaik (Sheffield) and Dr. Sarah Lewis (Bristol) on an MRC funded project to develop statistical methods for identifying, measuring, and correcting population stratification bias with emphasis on Mendelian randomization (MR) analyses. The position thereby involves travelling to Bristol a few times a year. The statistics developed under this project will be applied to data from the UK BioBank to answer biological questions. This is a multi-disciplinary project involving programming and modelling. In addition, the project will involve collaborations with researchers in other disciplines, including biomathematics and biostatistics. The candidate is expected to have a strong grounding in programming in R and math/statistics.
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