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mechanisms, biomarkers, and therapeutic targets in solid tumors through multi-omics data analysis of large pan-cancer datasets, including proteogenomic data generated across high-throughput profiling platforms
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), if applicable. A Research Statement (1-2 pages) highlighting your AI background and vision for human-agentic teaming in complex physical systems. Contact information for three professional references. Who We
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fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include
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models, and efficient algorithms for large-scale genomic data analysis. This is a one-year appointment starting as early as possible, with renewal possible based on the availability of funds, availability
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research projects related to law, public policy, and social science. Clean, manage, and analyze large administrative and research datasets. Develop quantitative data analysis pipelines using tools such as
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* Develop and apply analytical pipelines integrating high-throughput proteomic data with metabolomic, genomic, and clinical datasets from large prospective cohort studies to identify biological signatures
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for this position will be twofold: 1) Discover disease mechanisms, biomarkers, and therapeutic targets in solid tumors through multi-omics data analysis of large pan-cancer datasets. The postdoctoral fellow will
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of experience working in a research setting Highly responsible, cooperative and able to work independently and with initiative Excellent communication, organizational and interpersonal skills to work with a large
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opportunities will include grant writing, project management, advanced data analysis, scientific presentations, professional skills development, and career planning. Salary will be commensurate with NIH
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. Molecular biology (work with bacteria, recombinant DNA). Cell culture and analysis in both 2D and 3D. Conduct / manage studies in mice. Managing and analyzing data (MATLAB, Graphpad, R Studio). Required