Postdoctoral Research Fellow, Harvard T.H. Chan School of Public Health

Massachusetts, United States
Monday, 23 September 2019
End of advertisement period
Wednesday, 23 October 2019
Contract Type
Full Time


Harvard T.H. Chan School of Public Health



Position Description

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, HSPH), Jacqueline Starr (Forsyth Institute), and Brent Coull (Biostatistics, HSPH). The initial appointment is for one year, with a possible extension for a second year. The position is available immediately, with negotiable start date.

Basic 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 spatial statistical modeling or multivariate methods development. Excellent programing skills in R, C/C++ and/or Fortran as well as strong communication and writing skills are required.

Special Instructions

To apply, please send your CV, research statement, and contact information for three references to Dr. Kyu Ha Lee (klee@hsph.harvard.edu) with the subject line “Biostatistics Postdoc (Drs. Lee and Starr)”

Contact Information

Patrice Brown
665 Huntington Ave
Bldg 2 room 305
Boston, MA 02115

Contact Email


Equal Opportunity Employer

We are 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.