Postdoctoral Researcher, Zhou Lab

Develop generative machine-learning models for DNA sequence, gene regulation and perturbation in a lab that combines high-throughput single-cell multiomics with computational modelling of spatiotemporal gene regulation. Applications include genome mining, molecular technology development and new therapeutic approaches, in collaboration with experimental biologists and Arc's Virtual Cell Initiative.

Strong understanding of modern deep learning, computational biology and genetics; ability to analyse complex datasets and build high-quality ML tools; familiarity with sequence-to-function models, genome language models and single-cell foundation models, and enthusiasm for multidisciplinary collaboration.