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University is seeking a postdoctoral scholar to lead the development of a new experimental platform for spatial multi-omic analysis of biological tissues. Our lab builds biological measurement
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tissue analysis, and translational cancer biology, with access to large, high-quality, in-house spatial datasets. The Lu Lab maintains active collaborations across Stanford Medicine, engineering
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. Culturing human embryos and generating stem cell-based embryo models. Tissue sectioning for advanced spatial transcriptomic analysis. Leading the analysis of single-cell and spatial
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, 2022, Qin et al, Cancer Research 2025). We do research at the forefront of spatial biology and offer training in human histology, statistics, omics data analysis, computer vision, grant writing, and
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. Developing the research program will include supporting the team with quantitative, inferential and spatial analysis, as well as integrating machine learning techniques, and leading and drafting manuscripts
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biology techniques, preferably in single cell sorting (FACS), scRNA-seq, spatial transcriptomics and very strong multi-omic data analysis skills related to the microbiome/metabolome. Superb quantitative
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: ASAP Group or Departmental Website: https://med.stanford.edu/ibd-celiac-disease.html (link is external) How to Submit Application Materials: Interested candidates should submit a single combined PDF