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Postdoctoral Research Fellow (T32)

Company Information

Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Duties and Responsibilities

Harvard T.H. Chan School of Public Health (HSPH) invites applications for a postdoctoral research fellow who will work on statistical methods development for multivariate spatial data and high-dimensional multivariate microbiome sequencing data under the joint supervision of Drs. Kyu Ha Lee (Nutrition/Epidemiology/Biostatistics, HSPH), Jacqueline Starr (BWH), and Brent Coull (Biostatistics, HSPH).

Position Qualifications

Doctoral degree in biostatistics, statistics, computational biology, or related quantitative fields. Strong research experience in Bayesian modeling, Markov chain Monte Carlo methods is preferred. Also relevant would be experience with multivariate analysis and variable selection methods. Excellent programing skills in R, C/C++ and/or Fortran as well as strong communication and writing skills are required. Due to funding source (NIH T32), U.S. Citizenship or U.S. Legal Permanent Residency is required.