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About The Candidate

Resume ID #: 861
Current Location: Durham NC
Position Desired: Either
Travel: Limited
Relocate: Yes
SAS Experience
SAS Version9x
SAS Certifications
SAS Certifications
SAS Certified Base Programmer for SAS 9
SAS Certified Advanced Programmer for SAS 9
Other Experience
Industry Experience
Pharmaceutical and Biotechnology
SAS Experience
SQL programming skills
SAS Product Experience
Base SAS®

Work History

National Engineering Research Center for Beijing Biochip 08/06 to 06/2010
Research Assistant
1?Charged for large-scaled data analysis in DNA methylation study. Applied lowess normalization,significance analysis of microarrays (SAM) , supervised and unsupervised clustering, T-test, Wilcoxon rank sum test to identify differential methylated genes or areas between control and sample groups 2?Charged for high though-put DNA methylation microarray platform in semi-quantitatively identifying the hypermethylated promoter region of genes in different cancer samples. 3?Charged for Sequenom MassARRAY® platform in precisely detecting DNA methylation in different biological samples.
Beijing Branch of BioChain Science&Technology, Inc 07/01 to 01/2010
Research Assistant
Charged designing the probes for detecting DNA hypermethylated areas in R & D project of commercial detection Kit of colon cancer- specific gene in clinical use. This product has been on the market.

Education and Professional Training

University of North Carolina at Chapel Hill 08/05 to 05/2014
Chapel Hill NC
Master of Science
Yanshan University 09/01 to 01/2009
Master of Science
Yanshan University 09/07 to 07/2005
Bachelor of Science

SAS Experience Narrative

Course Project (clinical trial) – Employed survival analysis to evaluate whether, among people who were depressed after having a heart attack, treatment for depression would lessen or slow the rate of repeat heart attacks or death. Manipulated raw data to a join data set and analyzed the combined new data set. Finally this clinical trial data used the Cox Proportional Hazard Regression model to assess the result. All the process of analysis used SAS software to perform calculation.

Thesis Project –Established a predictive model for evaluating the influence of community pharmacists on the Centers for Medicare and Medicaid Services’ (CMS) Part D Star Ratings via medication therapy management (MTM) targeted at increasing adherence to diabetes medications. Applied T-test and logistic regression to analyze the change of PDC (proportion of days covered) 6 months before or after intervention to estimate the different contributions from covariates to PDC outputs though SAS.

Non-SAS Experience Narrative

Course Project (Finance area)–Applied GARCH modeling for analyzing portfolio performance selection. Collected and analyzed data on dollar-denominated Morgan Stanley Capital International (MSCI) stock market indices for Asia market. First applied a time series plot to examine the extremely value of 100 log-return. Used histograms and producing a table for statistics of this data to check the normality of log-return. And then assuming a risk-free rate of zero and computing the out-of-sample portfolio Sharpe ratios that the investor would have attained from using GARCH models to produce one- day-ahead volatility forecasts. All the process of analysis used R software to accomplish calculation.