->Create tables and listings for Phase II and III clinical trails. ->Produce deliverables for a NDA submission.->Liason between offsite contract SAS programmers and biometrics director.

>Write SAS programs to generate tables, listings and graphs for clinical trials related to cystic fibrosis. >Work with a varied group of people including biostatisticians, data coordinators, project managers and vendors.

( Contract job )Programmed using Base SAS, SAS Macro, SAS/ STAT, SAS/GRAPH and SAS ODS.• Define statistical models for regression analysis.• Run these statistical models on survey data to identify the top drivers for customer satisfaction across different lines of businesses.

Projects involved programming for early development (Phase 0, 1) clinical studies:• Degrees of Freedom calculations: contribute SAS code to macros that automate degree of freedom calculation for 95% predictive interval in immunology assays.• Robust Statistics calculations: develop SAS code to calculate robust statistics for compound activity and summarize the activity over cell plates, as per the specifications of the biostatistician .• Flow Cytometry Studies: develop SAS code to generate indices that reflect cell types in large flow cytometry data sets.

• Took a lead role in programming and data management for large-scale medical research projects. Used SAS, SQL and Access. Projects included- breast cancer: examine the relationship between long term antibiotic use and increased risk for breast cancer.- colon and prostate cancer:- senior adult fitness: - women’s health: - quality of health care: • Provided research data for ad-hoc requests.

• Provided measurement consultation to the breast, cervical and colon cancer roadmaps. The purpose of these roadmaps was to improve screening rates and overall quality of care provided. Used SAS and Microsoft Applications to analyze data as per the objectives of the quality plan• Provided measurement consultation to the clinical guideline team. The goal of the clinical guideline team was to ensure that the quality of care was consistent among the various Group Health facilities. Used SAS and Microsoft Applications to measure the success of guideline implementation. • Uploaded data to the performance indicator model (PIN) in the data warehouse. This process involved SAS programming and Unix scripts

• Used SAS to construct statistical models and forecast natural gas consumption and revenues for the company• Produced weather reports that reflect changes in natural gas consumption due to weather variance