Research Scientist in Bayesian Statistics and Causal Inference

2 weeks ago


Cambridge, Cambridgeshire, United Kingdom The International Society for Bayesian Analysis Full time
Research Associate in Bayesian Statistics and Causal Inference

We are seeking a highly skilled Research Associate to join our team at The International Society for Bayesian Analysis. The successful candidate will have a strong background in Bayesian and computational statistics or machine learning and causal inference, including machine and statistical causal structure learning.

The project focuses on developing novel causal inference tools tailored for single-cell sequencing data. This involves working with large datasets, including the world-largest single-cell RNA-sequencing dataset of the human brain, to define molecular causes for neurological disease.

The position is a collaborative project with national and international experts in their field, including Prof Michael Johnson, Professor of Neurology and Genomic Medicine, Imperial College, and Prof Guido Consonni, Professor of Statistics, Universita' Cattolica del Sacro Cuore, Milan, Italy.

The successful candidate will have the opportunity to work on cutting-edge research and develop novel methodologies and software implementation tailored to single-cell sequencing data.

This is a 3-year funded position, including a generous travel and computing budget.

Informal enquiries may be made to Dr Verena Zuber or Dr Leonardo Bottolo.



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