20 evolution-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"Utrecht-University" positions at City of Hope
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Center. We are seeking a Staff Scientist to lead computational projects at the interface of tumor evolution, liquid biopsy, and machine learning. The successful candidate will develop and apply
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laboratory focuses on defining disease subtypes, identifying key molecular drivers, and elucidating mechanisms of leukemogenesis, clonal evolution, immune regulation, and treatment response using functional
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processes that drive tumor evolution, treatment resistance, and disease progression across multiple cancer types, including breast cancer, lung cancer, glioblastoma, ovarian cancer, and hematologic
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evolution, identify clinically actionable patient subgroups, and support personalized treatment strategies. Through these efforts, we aim to translate data-driven insights into clinically actionable tools
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software (Word, PowerPoint, Excel, databases) and basic statistical principles Additional Information: · For more information on nPOD please visit here : https://npod.org/ · For
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our ReCord Study ( https://record.umn.edu ). Qualifications Your qualifications should include: · Ph.D. degree in genetics, genetic epidemiology, biological sciences, or a related discipline is
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. For more information about the HTB, please visit https://www.cityofhope.org/research/shared-resources/pathology-research-services/liquid-tumor-bank As a successful candidate you will
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. Expertise in using mouse models to study metabolic diseases is preferred. For a complete list of Publications please visit here: https://www.ncbi.nlm.nih.gov/myncbi/1J54E41I5YVku/bibliography
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investigate how aging alters epithelial fitness, cell competition, clonal selection, and early tumor evolution. Engineered culture microenvironments, primary human mammary epithelial cells, and cell-based
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, mouse genetics models, xenograft assays, retroviral gene delivery, chemical biology, drug development, whole exome sequencing and RNA-seq-analysis of clonal evolution of cancer, dot blots, RNA