Post-doctoral position in bioinformatics position for host-parasite interaction

Integrating multimodal datasets and modeling the evolution of gene families in parasites.

Thanks to numerous international collaborations, we have generated and will continue to generate host-parasite datasets. These include single-cell spatial data, as well as compilations of host and parasite data.

- Exploring methods for integrating single-cell and spatial transcriptomics

- Analyze a wide range of data sets

- participate in the testing and implementation of single-cell data visualization tools

- Model the diversity and microevolution of variant surface antigens (var, rif, stevor) from 16,000 clinical isolates in the field.

Activities: Biostatistics/bioinformatics background, with proven experience in Omics data analysis

- Good knowledge of R or Python

- Able to work independently

- Excellent communication skills in English

- Willingness to lead research projects

- Passion for scientific discovery

The aim is to create pipelines to (1) integrate spatial and scRNA-Seq datasets for host-parasite datasets and (2) model how host-parasite interaction evolves over time. This should lead to at least one peer-reviewed manuscript.s