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or quasi-mechanistic models Multi-Agent AI Systems for Scientific Discovery: Pioneer the development of multi-agent computational systems where specialized AI agents collaborate to solve complex genomic
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of quantitative, experimental, and clinical scientists. ● Present complex results clearly and concisely to diverse audiences. Who You Are ● You have a Ph.D. in Computational Biology, Bioinformatics, or a related
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and effectively communicate about complex bioinformatics problems to both technical and non-technical audiences; this should be both in written and verbal form, as evidenced by first-author publications
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focused researcher, driven to solve complex scientific problems independently and in a collaborative environment. Efficient oral and written communication skills are required. For information about the
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apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
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a plus. Be technically rigorous, curious and creative. Show enthusiasm in tackling complex biological problems and developing/applying new technologies. Have advanced at least one key research project
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RNA-seq, single-cell ATAC-seq, multiome, etc). Demonstrated ability to effectively communicate about complex bioinformatics problems to both technical and non-technical audiences. Independent, highly
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genomics and transcriptomics, single-cell RNA-seq, Perturb-seq) Demonstrated ability to clearly and effectively communicate about complex bioinformatics problems to both technical and non-technical audiences