p>Two central goals of GAIA are: - to build an AI Genome Curation Assistant (Jarvis): an AI system that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes thus that allowing to scale up to thousands of species per year;
- To build Genera, a multimodal, agentic AI system that integrates genomic and ecological data to assess extinction risk and generate actionable genetic rescue strategies for conservation practitioners.
We seek a Postdoctoral Associate with AI engineering skills to work as part of our new GAIA (Genomic Artificial Intelligence Applications) collaboration, between The Rockefeller University, Revive & Restore, Cornell University, and partners including Google AI Genomics, funded by the Bezos Earth Fund and Google.org.