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current processes and identify, propose, and implement improvements to ensure output of high-quality datasets. Work with other team members and leadership to plan project requirements and timelines, shift
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models (rodent handling/surgery experience a plus). ● Familiarity with quantitative/computational approaches (e.g., R, Python, image analysis, statistics) is a plus but not required. ● Ability
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epigenetics of acute myeloid leukemia and has published articles in Cancer Cell, Cell, Leukemia, and the New England Journal of Medicine. The lab has extensive expertise in both bench science and bioinformatics
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research project in any of several areas relevant to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic
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to this topic, and to explore multiple lines of research in parallel. Most projects employ a combination of bacterial genetics, high throughput genetic screens, biochemistry, ribosome profiling (ribo-seq
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laboratory Our research focuses on large-scale pan-cancer genomics to gain insight into the genes, mutational processes and evolution of cancer. Our work is highly data-driven, with a focus on large-scale data
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innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. In parallel, the lab emphasizes
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, signaling pathways, or systems biology models (bioinformatics tools and models) Experience with integrated multiscale modeling frameworks connecting molecular dynamics to cellular or tissue-scale processes