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 stdls@channing.harvard.edu, or mail to

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