The successful candidate will analyse two types of data:
- Large cohorts of single-sample bulk sequenced tumours from the TCGA and ICGC pan-cancer projects as well as from other sources
- Genomes of single cells from individual tumours
We plan to adapt methods from population genetics and phylogenetics to the cancer setting. This position is ideal for somebody trained in evolutionary biology in model systems to make the transition to biomedical applications in cancer. The successful applicant will have a PhD in a quantitative field like mathematics, statistics, physics, engineering, bioinformatics, or computer science. A background in evolutionary biology, molecular evolution or population genetics is highly desired. The applicant should have a good biological background, excellent computing skills and good communication skills.