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, genomics, or computational analysis of high-dimensional datasets. Experience with one or more of the following: Flow cytometry Single-cell sequencing Spatial transcriptomics Multiplex imaging Bioinformatics
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Academic credentials: PhD in ecology, biology, statistics, computer science or engineering, or oceanography with a strong quantitative analysis background, particularly in species distribution modeling
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Contribute to the analysis of single-cell RNA-seq, spatial transcriptomics, and multi-omic datasets Apply computational and machine learning approaches to build mechanistic biological models and rationally
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sequencing, and spatial transcriptomics. Be Bold. Qualifications: A PhD, MD, or MD/PhD in a biomedical sciences-related field is required, along with a peer-reviewed publication record. Experience in RNA
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play a central role in analyzing and integrating single-cell, spatial transcriptomic, and multi-omic datasets to uncover new biological insights and therapeutic vulnerabilities. Minimum Requirements: PhD
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/spatial multi-omics and epigenomic data in applications spanning development, cancer, neurodegeneration, and immunology. Publish in top venues, present at major conferences, and contribute to open-source