We are looking for a computational biologist interested in pathogen evolution to join us to work on exciting projects combining molecular epidemiology and functional studies of arboviral infections.
The aim of the current project is to study dynamics of arbovirus emergence or endemic circulation, and the underlying mechanisms, at the scale of individual outbreaks through the integrated analysis of genomic, temporal and functional data.
Previous experience in computational analysis of viral sequence data, evolution or quantitative skills are essential.
The viral NGS data is generated by other members of the group, so the work is exclusively focused on data analysis and no lab skills are required.
Knowledge of epidemiological models, phylodynamic approaches (including Bayesian methods), and pathogen evolution would be desirable but are not essential.
Scientific rigor, organizational skills, high motivation, English proficiency and ability to work collaboratively in an interdisciplinary environment are essential.