Biostatistician/SAS analyst, co-author of 40+ publications on peer-reviewed journals with experience in designing clinical and epidemiological study, conduct advanced statistical analysis with expertise in statistical software SAS (SQL, macro). Link administrative database with clinical and laboratory data efficiently. Solve complex data issues within tight time frames. Team player, working well with all levels of the organization. Effective at bridging communication between medicine and statistics. Software: SAS, R Statistical Techniques: survival analysis (life test, cox regression with time-varying covariates), competing risk analysis, longitudinal/correlated date analysis (GEE, multi-level modeling), missing data imputation, predictive modeling, non-linear modeling, Bayesian data analysis, principal component analysis, structure equation modeling, bootstrapping, matching, high dimensional propensity score methods, non-parametric methods, sample size calculation, summary statistics, graphical presentation Platforms: Windows, Unix, Linux Administrative Database: DAD, SDS, OHIP, ODB, NACRS, RPDB, OCR, ALR, CCHS, OMHRS, CIC, ORGD, CPDB, OLIS, POGONIS