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analyze single-cell RNA sequencing (scRNA-seq) datasets using biostatistical and bioinformatics approaches. Conduct molecular, cellular, biochemical, and immunological analyses to support research
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the cellular crosstalk and basic molecular mechanisms during lung repair and disease. We utilize in vivo mouse genetics, live -imaging, 3D organoids, functional screening, and next generation sequencing
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: PCR RT-qPCR Western blotting Immunofluorescence Design and execute next-generation sequencing experiments, from library preparation through downstream data analysis. Apply advanced technologies
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cancer, or related field Preferred Qualifications: Experience working with mammalian cell culture and animal models of cancer (xenografts and GEMMs) Familiarity with next-generation sequencing platforms
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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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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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, molecular biology, pharmacology, and/or a related field. Experience with cell culture, mouse models, and biochemistry/molecular biology is required. Familiarity with gene sequencing techniques/data analysis
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Anesthesiology focused on microbiome–immune interactions in critically ill and perioperative patients. Our research combines prospective ICU cohort studies; advanced microbiome sequencing techniques to study