Departments of Epidemiology and Biostatistics, Harvard School of Public Health

Statistical Programmer/Analyst

Assist in the development of new statistical methods to adjust for measurement error bias in environmental and nutritional epidemiology. Responsibilities include: implementing and testing new algorithms in FORTRAN; verifying mathematical results; running simulation studies to evaluate new methods; debugging, running and summarizing analyses; graphing data using standard statistical software and graphics packages; serving as a co-author on manuscripts and presentations. Knowledge of mathematical statistics, survival data analysis, estimating equations theory, categorical data analysis, non-linear optimization useful. Experience in SAS and/or Splus also helpful. Salary commensurate with experience. Please email CV to, or mail to

Dr. Donna Spiegelman,
Department of Epidemiology,
Harvard School of Public Health,
677 Huntington Avenue,
Boston, MA, 02115