The Department of Computational Biomedicine at Cedars-Sinai Medical Center applies quantitative, statistical, and data-science methods to address clinical and population health research questions. This internship offers a structured, hands-on educational experience in epidemiologic research, with a focus on cancer outcomes and population-based data. The intern will engage in applied research using real-world cancer datasets and will be supported through close mentorship, collaborative learning, and exposure to the full research lifecycle—from hypothesis development to dissemination of findings. Learning Objectives This internship is designed to provide practical training and professional development in epidemiologic and data-driven research. Key learning objectives include: Gaining hands-on experience working with large, population-based cancer datasets (e.g., national cancer incidence databases) Developing skills in hypothesis formulation, study design, and applied statistical analysis Interpreting research findings within a clinical and population health context Strengthening scientific writing skills through contributions to manuscripts and research outputs Understanding best practices in reproducible and ethical research
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Career Level
Intern
Education Level
High school or GED