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data and health record information, to develop predictive models for drug response. Furthermore, we work on creating new treatment stratification methods to personalize treatment for individual patients
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using group-housed, automated behavior testing. Integrate behavioral data with histopathological, molecular, and multi-omics readouts. Develop standardized phenotyping pipelines and train other lab
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biology and drug discovery. Generate data for grant applications and prepare manuscripts for publication. Work in close collaboration with other team members and external collaborators, including
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: · Develop and maintain clinical and translational research trials in genitourinary cancers. · Collect, analyze, and maintain large databases pertaining to genitourinary cancers. · Draft
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cancer prevention and control education; increase awareness and utilization of resources; and increase community participation in health and biomedical research. Our model is a community participatory
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drive our multiomics, high-throughput sequencing projects and help develop any projects based on the most advanced technologies. Your qualifications should include: Ph.D. in Biochemistry, Bioinformatics
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research project to develop a neoantigen-based cancer vaccines to support an IND utilizing a highly efficient and fully synthetic poxvirus-vectored vaccine platform that has been derisked by its use in Phase
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pharmacology tools to identify novel signaling pathways in metabolism to develop new targets for drug discovery. Our research interests include: 1) Liver-gut and microbiota crosstalk as metabolic mediators in
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candidate, you will: Develop and apply Bayesian Network machine learning methods to analyze the dynamics of G-protein coupled receptors to uncover allosteric regulation that enables design of allosteric
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. Develop new techniques/protocols and help other lab projects.