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therapeutics or nucleic-acid chemistry o Nanoparticle / liposome formulation and characterization o HTS assay development and robotic screening o Recombinant protein expression in multiple hosts o
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, 2025), Science Immunology (2023, 2024), Molecular Cell (2025), Cancer Discovery (2019), JEM, PNAS, and Trends in Immunology. Dr. Ma’s research has been recognized with multiple national and institutional
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presentation, ability to work efficiently in a team and with collaborators · Experience in Single Cell Multi-omics techniques and multiple component analysis programs is an advantage · Previous
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. This project involves the development and application of interpretable machine learning methods to uncover allosteric regulation of disordered regions in the dynamics of G-protein coupled receptors to enable
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, FOLFOX-3B—all of which completed with numerous biomarker-driven projects pending). Participate in paper writing of multiple research projects. Data sets will be electronic. No biological samples will be
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scientific rigor and excellence as documented by peer-reviewed publications. Ability to work in a fast-paced research environment and manage multiple projects and collaborations. Strong team player with
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supported by multiple NIH award (R01, U54) and several other prestigious private awards. As a successful candidate, you will: Directly work on the following projects: 1) RNA modifications and RNA-binding
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Cancer (2024), Blood (2022, 2019, 2019), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand
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predictive models for drug response. Furthermore, we work on creating new treatment stratification methods to personalize treatment for individual patients. More information about the lab can be found here
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team environment and handle multiple projects simultaneously.