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contributions to the PI’s research program, including designing experiments and study materials; collecting, analyzing, and interpreting data; designing and implementing computational models; preparing scientific
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for coupling functional genomics techniques with computational analyses to understand gene regulation in health and disease. Such models are based on multi-omics high-throughput assays, either performed by
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of the meiotic cell cycle. Our work involves genetic mouse models, combined with molecular, cellular, and biochemical analyses. A successful candidate will work closely with the principal investigator as
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both 2D and 3D models, for experimental studies. The ideal candidate will demonstrate a strong record of accomplishment in a relevant area of biomedical research, evidenced by first-author peer-reviewed
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Required Knowledge, Skills, and Abilities Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data analyses, and causal inference methods. Understanding of HIPAA
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T-cell Acute Lymphoblastic Leukemia (T-ALL) using mouse models under the supervision of the Principal Investigator. The Postdoctoral Associate also performs research, experiments, and laboratory
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collaborative and interdisciplinary research environment. Preferred Qualifications Experience with computational structural biology, molecular modeling, or AI-assisted drug discovery is desirable but not required
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for cancer, including tumor-infiltrating lymphocytes and gene-engineered T cells. Postdoctoral Associates are expected to establish an innovative, collaborative research program addressing important and
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of these metabolites. In addition, the candidate may explore the biological functions of these metabolites using preclinical models and clinical cohort data. The successful candidate also will mentor and supervise
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Associate will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the disease mechanisms of various brain disorders using murine models and iPSC