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Field
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cardiovascular imaging at population scale and extends toward myocardial tissue remodeling, fibrosis-enriched imaging phenotypes, multi-omic causal discovery, and AI-enabled target prioritization. The fellow
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, single-cell multi-omics, computational biology, and experimental immunobiology to understand how genetic variation shapes hematopoiesis, immune, metabolic, and neurocognitive phenotypes in autoimmune
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drive large-scale genomic, transcriptomic, and multi-omics discovery in order to predict and prevent these devastating diseases. Working closely with Dr. Clemens Scherzer and our computational, molecular
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will have access to unique multimodal datasets derived from prospective clinical trials, large-scale electronic health record (EHR) resources, medical imaging, and multi-omic profiling platforms
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interface of computational genomics, AI-driven modeling, and translational oncology, analyzing large-scale multi-omic datasets from pediatric cancer cohorts. The position offers a unique opportunity to
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translate these discoveries into precision medicine. We develop computational and statistical methods while integrating human genetics, single-cell and multi-omics, large-scale biobank resources, and
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scientific leadership. Job Responsibilities include, but not limited to: Genomics & Multi-Omics Research Design and execute large-scale genomics studies using GWAS, QTL mapping, and pedigree-based
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: • Bioinformatics and computational biology • Multi-omics data integration and analysis • Pharmacogenomics and computational drug discovery • Pharmacogenomics and precision medicine • AI and machine
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malignancies. Developing predictive models for precision oncology: We leverage large-scale multimodal datasets, including molecular profiling, clinical records, imaging, and longitudinal treatment histories
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validating multi-modal biological models. The team will: i) generate experimental perturbation and measurement data at scale, ii) build multi-modal biological models and, iii) use the experimental data