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, including R01 (NCI renewal recently scored 1st percentile) and R35 awards, as well as institutional funding from ALSAC. We are closely integrated into the Pediatric Cancer Dependency Map, PedDep, a large
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experimental results in the context of large-scale datasets. Generate publication-quality analyses, figures, and visualizations, and contribute to study design, data interpretation, and project strategy. Lead
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subtomogram averaging Integrate the structural data with the lab's interaction mapping, proteomics and computational modeling Design and run follow-up cell biology experiments to test mechanistic hypotheses
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, and computational modeling. They will design and execute experiments, analyze large-scale proteomic data, and interpret results. The individual is expected to lead projects that gravitate
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in Nature , Cancer Cell , Nature Cancer, Lancet Oncology , and Journal of Clinical Oncology . Leveraging our exquisite access to patient material linked to large clinical trial cohorts, we are applying
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discipline The ability to independently design and execute experiments and interpret data Expertise in at least one of the following areas: Super-resolution imaging, including Stimulated Emission Depletion
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large-scale whole genome and whole exome sequencing, RNA-seq, ATAC-seq, proteomics, and metabolomics data in a well-established cohort of childhood cancer survivors with clinically ascertained deep