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Postdoc in Spatial Omics and Multi-omics

Siyuan Wang Lab
New Haven, Connecticut (US)
Salary based on experience and track record
Closing date
Oct 31, 2022

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Life Sciences, Biomedical Sciences
Position Type
Full Time
Job Type
Postdoc, Postdoc Fellowship
Organization Type
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Siyuan (Steven) Wang’s lab at Yale is seeking multiple highly motivated postdoctoral research fellows interested in the rapidly expanding field of spatial genomics, spatial multi-omics, and 4D nucleome.

Research in our lab focuses on the development and application of state-of-the-art imaging-based omics approaches to understand the spatial organization of mammalian genome and transcriptome, and how they impact cellular states. Recent advances include the development of the first-in-kind image-based 3D genomics method termed chromatin tracing to trace the spatial folding of genome, co-development of MERFISH for spatial transcriptome profiling (See Nature Methods Method of the Year 2020:, and the development of MINA to measure multiscale chromatin folding, copy numbers of numerous RNA species, and associations of numerous genomic regions with nuclear landmarks in the same, single cells in mammalian tissue (Science 2016, Science 2015, Molecular Cell, 2020, Nature Communications 2020, Trends in Cell Biology "Best of 2021", Nature Protocols 2021, Cell Discovery 2021, Genome Biology 2021). As one of the leading labs in this field, we are well funded with US$10 Million through six on-going NIH and private funding supports. Below are a few news articles about us:

We have established a very supportive and productive lab culture ( Trainees in the lab receive unique, comprehensive training in this rising field and abundant research opportunities. 

The postdoctoral fellows will lead the development of the next generation of image-based omics technologies and/or the application of these technologies to different biomedical investigations. Individuals with expertise in any one of the following areas are strongly encouraged to apply: 1) sequencing-based omics technology development; 2) light microscopy and optical instrumentation; 3) molecular and cellular biology with mammalian/human cell culture or tissue especially in the context of cancer, aging, or immunology; 4) computational biology/bioinformatics/deep learning.

We expect successful candidates to have strong academic background and publication record. The position is renewable annually, with immediate start availability.

To apply, please send your CV and cover letter with a description of previous research, and have three letters of recommendation sent to

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