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Position TitlePost Doctoral Research Fellow
School of Public Health, Biostatistics Department
The successful applicant will be working in the area of electronic health records, gene-environment interaction, shrinkage estimation and statistical methods for analyzing biobank data in collaboration with Dr. Bhramar Mukherjee.
They will work in a team of graduate students, post-doctoral fellows, staff and faculty colleagues
Expertise or experience in any of the following areas will be helpful: Bayesian methods, causal inference, high-dimensional statistics, machine learning, mediation, missing data, sample survey, selection and shrinkage methods.
Experience in R programming is required, programming in Python, C++ or other programming language, a broad interest in computational statistics and developing R packages and scalable algorithms is an added plus.