Design, implement, and validate AI-driven models for prospective vaccine strain selection at the interface of viral genomics, antigenicity modeling, and deep learning
Job Summary
Design, implement, and validate AI-driven models for prospective vaccine strain selection at the interface of viral genomics, antigenicity modeling, and deep learning.
Develop sequence-based deep learning models, including transformer or language-model-based architectures and graph neural networks, for rapidly evolving viruses.
Integrate multi-source surveillance, immunogenicity, and vaccine efficacy data to compute and evaluate prospective coverage scores for candidate vaccine strains.
Matching Summary
Design, implement, and validate AI-driven models for prospective vaccine strain selection at the interface of viral genomics, antigenicity modeling, and deep learning.