Postdoctoral Research Fellow

Cambridge, Massachusetts (US)
Friday, 6 December 2019
End of advertisement period
Sunday, 5 January 2020
Contract Type
Fixed Term
Full Time

School Harvard T.H. Chan School of Public Health
Department/Area Nutrition

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 pbrown@hsph.harvard.edu

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.

Minimum Number of References Required 3
Maximum Number of References Allowed 3