We are looking for a computational postdoc with experience and/or interest in developing AI-enabled large-scale surveillance tools that integrate genomic data with functional in vitro and in silico readouts, including high-throughput deep mutational scanning, and deploying these tools through outbreak.info. Ideal candidates will have a background in developing or applying genomic epidemiology to understand outbreaks. Experience in analyzing large-scale pathogen genomic datasets, and fluency in leveraging LLMs for research and software development is a plus. This position is part of our larger initiatives, including the Center for Viral Systems Biology (https://cvisb.org/), Modjadji (https://modjadji.info/), PREVENT (https://preventcohorts.org), and SEARCH (https://searchcovid.info/). Candidates will be co-mentored by senior researchers in the Andersen lab, Dr. Karthik Gangavarapu and Dr. Joshua Levy.

Tasks will include:

Develop novel methods to integrate large-scale genomic surveillance with in vitro and in silico functional data, including deep mutational scanning.
Deploy these methods through outbreak.info for real-time outbreak tracking.
Design novel AI-assisted strategies to improve the speed and accuracy of outbreak detection and monitoring.