PENG ZHANG
*** ******** *****, ******, **
Permanent Resident of USA
Email: *********.***@*****.***
Phone: 607-***-****
Qualification:
o Self-motivated and hardworking statistician/statistical programmer with excellent technical competency on statistical modeling and programming in different area such as clinical trials, customer analysis, text mining, etc. o Proficient in frequently used statistical models, such as linear regression, ANOVA, logistic regression, survival analysis, multivariate analysis, Bayesian statistics, as well as machine learning techniques.
o Hands-on skills in using SAS to perform data manipulation, graphing, statistical modeling and other tasks. Also familiar with R and Python for data analysis. o Demonstrated ability to work in a team environment with efficient communication skills.
Education:
Ph.D. of Mathematical Sciences, major in Statistics. GPA: 3.85/4.0 Department of Mathematical Sciences, Binghamton University, December 2010
M.S., major in Statistics. GPA: 3.9/4.0
Department of Mathematical Science, Binghamton University, January 2007
B.S., major in Physics. GPA: 4.0/5.0
Department of Physics, Nanjing University, China, June 2002 Experience:
January 2011-Present
Senior Statistical Analyst, Three Bays LTD., China o Collaborated with statistician in analyzing initial data sets and generating tables, listings and figures (TLFs) for clinical trials with SAS/BASE, SAS/GRAPH, SAS Macros and SAS/ODS.
o Experienced in applying SDTM, ADaM standards to create CDISC compliant datasets.
o Experienced in developing SAS Macros for data cleaning, reporting and involved in preparing documentation.
o Developed SAS code for modeling data and directed the implementation of SAS/STAT procedures such as PROC TTEST, PROC NPAR1WAY, PROC CORR, PROC REG, PROC ANOVA, PROC GLM, PROC LOGISTIC, PROC LIFETEST, PROC LIFEREG, PROC PHREG, etc. for linear regression, ANOVA, logistic regression, survival analysis and other statistical analysis. o Produced customized reports using PROC REPORT, PROC TABULATE as well as SAS/ODS.
o Theoretical research on longitudinal data model with application in clinical trials.
February 2016-December 2016
Part-time Clinical SAS Programmer, ProClinPharm, USA o Used SAS Macros extensively in the creation of new programs as well as modification of existing programs to improve ease and consistency of results. o Worked with senior biostatisticians and clinical data managers to provide SAS programming in analyzing the data, generated reports, tables, listings and graphs
(TLFs).
o Performed clinical data cleaning and mapped clinical data to SDTM datasets. o Produced reports for supporting clinical trials. Computer Skills:
Experienced in SAS programming with SAS/BASE, SAS/STAT, SAS/GRAPH, SAS Macro, PROC SQL, SAS/ODS, etc.
Familiar with R Programming
Familiar with Python Programming
Familiar with Microsoft Office