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Job Title:

Department:

Post Doctoral Scholar to pursue specialized research training, education and experience within the Center for Biostatistics under the guidance of a Center-affiliated scientific mentor; develops and applies longitudinal, survival, and joint longitudinal-survival models to investigate disease progression, characterize changing risk, and predict clinically relevant outcomes; builds reproducible computational pipelines that integrate clinical, genomic, molecular, and other relevant data from electronic health records, cancer registries, population-based cohorts, and multi-omics studies; develop, interprets, and validates statistical and machine-learning models for risk stratification, biomarker discovery, and personalized cancer prevention; attends research seminars; contributes to manuscript preparation and supports technical writing; participates in preparation of grant applications for extramural funding; performs additional duties as assigned.

Minimum Education & Experience Required

To be considered for this Postdoctoral Scholar position, candidates must possess a Ph.D. in biostatistics or equivalent doctoral degree in statistics, epidemiology, biomedical informatics, or a closely related quantitative discipline, completed before the appointment begins. The applicants must demonstrate strong research skills, data analysis proficiency, and statistical expertise, coupled with exceptional written and verbal communication skills. Successful candidates will have a proven ability to collaborate effectively within diverse teams while also showcasing independent research capabilities and a strong trajectory towards research productivity, including peer-reviewed publications and conference presentations.

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