Biomedical Data Science Researcher

4 weeks ago


Cambridge, Cambridgeshire, United Kingdom University of Cambridge Full time

Research Opportunity

We are seeking a highly motivated and talented postdoctoral researcher in biomedical data science to contribute to our team at the University of Cambridge. The successful candidate will have experience in the application of machine learning, artificial intelligence, bioinformatics, and biostatistics to analyze large-scale genomic and phenotypic data.

The primary role of the post holder will be to lead projects involving the quantitative analysis and interpretation of genomic and phenotypic data using polygenic scores, GWAS, Mendelian randomisation, and other statistical and machine-learning techniques. The successful candidate will have research interests aligned with those of our team and will have the freedom to develop new research ideas.

Initial potential research projects include: (i) the role of iron deficiency in cardiometabolic disease risk across populations, (ii) integrating multi-omics data to determine the molecular etiology of specific cardiometabolic multimorbidity patterns, (iii) uncovering demography-based heterogeneity in causal effects of molecular traits on disease outcomes, or (iv) predicting multimorbidity trajectories by combining data from e-health records, lifestyle factors, and genetic data.

The post-holder will be expected to evaluate and develop the statistical methods necessary to test hypotheses of interest, such as those listed above and advise on appropriate statistical practices. The work of the post-holder is expected to lead to first author high-impact publications.

The preferred candidate will have a PhD in a subject related to biomedical or health data science, such as Statistical Genetics, Computational Biology/Bioinformatics, Biostatistics, Epidemiology, Statistics, Computer Science, Mathematics, or similar. They will have in-depth knowledge of and demonstrated experience in statistical genetics, strong quantitative analysis skills, and experience using statistical programming packages and/or scripting languages.

The University of Cambridge actively supports equality, diversity, and inclusion and encourages applications from all sections of society. The University has a responsibility to ensure that all employees are eligible to live and work in the UK.



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