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Field
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Design pipelines for image preprocessing, segmentation, feature extraction, and predictive modeling Collaborate with cross-functional teams to integrate imaging data with genomic/transcriptomic/proteomic
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role (i.e., the role would not aim for first or last author publications) Flexibly embark on various data analysis tasks that support lab projects that mostly consist of single-cell transcriptomics
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, reducing agricultural productivity, grain quality, and food and feed safety. The research will integrate genome sequences, genetic variation, transcriptomic profiles, functional annotations, protein
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or phage genetics, molecular biology, vector biology, animal infection, microscopy, genomics, transcriptomics, biochemistry, or computational analysis, depending on expertise. Analyze data, maintain
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About the Role The post-holder will have responsibility for developing Visium spatial transcriptomics and multiplexed immunohistochemistry in the Lockley group to unravel the clonal evolution
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, genomic and transcriptomic profiling, therapeutic response and resistance, biomarker discovery, and integrative multi-omics analysis across diverse cancer types. The Research Scientist will develop
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preferred. • Significant experience with one or more of the following types of analysis is highly preferred: bulk and single cell transcriptomics, variant calling, genome assembly/annotation. • Use
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of pregnancy, placental and decidual immunology, cellular and molecular biology, flow cytometry, single-cell and bulk transcriptomics, imaging, and translational analysis of human biospecimens. Research
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-seq and perturbational omics. You will also work with spatial transcriptomics data, using technologies such as MERFISH/MERSCOPE, Visium HD and ATERA. Depending on your interests and strengths, you can
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, computational biology, and spatial transcriptomics to understand therapeutic response and accelerate translation from preclinical discovery to clinical application. The successful candidate will have experimental