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methods, and translational science, with a strong emphasis on rigorous study design, reproducible analytics, and integration of biological and social data. Minimum Requirements: A PhD degree is
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. Preferred Qualifications: Experience in translational or mechanistic cancer research. Experience in experimental design and interpretation informed by clinical questions. Experience in scientific
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key part in advancing discovery-driven research that integrates molecular genetics, behavioral pharmacology, and clinical epidemiology. You will design and conduct independent experiments, contribute
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outcomes in cancer, and conducting Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high
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, Quantitative Social Science, or a closely related field. Strong understanding of epidemiologic methods, observational study design, cancer outcomes research, population health, and health disparities
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related discipline. Demonstrated experience with experimental design, data analysis, and scientific communication. Ability to work effectively in a collaborative research environment. Preferred
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related discipline. Demonstrated experience with experimental design, data analysis, and scientific communication. Ability to work effectively in a collaborative research environment. Preferred
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virus interactions. Design, implement, analyze, and validate agent-based, ODE, PDE, stochastic, hybrid, or surrogate models, selecting the modeling framework appropriate to each scientific question
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. Experimental Design & Execution Design, perform, and optimize molecular, cellular, and biochemical experiments. Utilize animal models to study retinal biology and disease processes. Collect, analyze
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datasets and labeling processes. Machine Learning & Model Development Design, develop, optimize, and support machine learning and deep learning models. Prepare datasets for training, validation, and testing