Project Medical

QINGQING HONG

** * **** ***** **, Apt ***, Madison, WI, 53717

*******@*****.*** 216-***-****

Qualification

Motivated Biostatistics graduate with solid knowledge of statistical theory and Medical background

Internship experience with a medical device company

More than one year’s experience in statistical analysis and data management

Proficient in SAS (MACRO, GRAPH, STAT, BASE and ODS), R/S-Plus, SQL, and Excel (VLookup, Pivot

table); certified in Base and Advanced SAS Programming; experienced in MATLAB, SPSS, and UNIX

EDUCATION

Case Western Reserve University, Cleveland, OH GPA:4.0/4.0

Master of Science in Biostatistics, January 2014

Wenzhou Medical College, Wenzhou, China

Bachelor of Science in Preventive Medicine, June 2011

EXPERIENCE

Ventana Medical Systems, Inc., Tucson, AZ

Biostatistics Intern May 2013 - August 2013

Assessed the agreement of diagnose results of a product from Ventana and a product from another

company; estimated positive, negative and overall percent agreement with Score confidence interval; wrote

a statistical report.

Validated analysis dataset and statistical analysis to ensure accuracy, quality and integrity by implementing

statistical analysis plan in protocols and comparing analysis datasets, tables, lists with those produced by

leading Biostatisticians in order to meet FDA regulation.

Responsible for a mRNA biomarker analysis project from the beginning to result presentation.

Project: mRNA Biomarker Analysis Project

Analyzed whether House-Keeping gene helps in reducing experimental variation by visualizing within

subject standard deviation and Linear Mixed model fitting; performed cut point analysis based on Log-Rank

Test statistics; assessed the concordance between target gene and protein; analyzed the association between

target gene expression level and time to recurrence by survive analysis.

Statistical package: SAS (ODS, PROC SGPLOT, PROC REPORT, PROC MIXED, PROC LIFETEST)

R (MAXSTAT and XLSX packages)

Case Western Reserve University, Cleveland, OH

Research Assistant June 2012 - May 2013

Prepared the IRB protocol for the Rectal Cancer project.

Provided statistical consultation for statistical analysis plan such as study population selection.

Responsible for data cleaning and statistical analysis on rectal cancer project.

Project: Predictors of Metastatic Site in Rectal Cancer

Performed data clean including recognizing inconsistencies and errors in the dataset, creating new variables

based on information in the note column; analyzed the association between potential predictors and

specific metastatic sites by the multivariable logistic regression model.

Statistical package: SAS (ODS, PROC FREQ, PROC LOGISTIC)

Research Assistant April 2012 - June 2012

Computational and statistical analysis of high-throughput flow cytometry data

SKILLS

Linear Regression, Generalized Linear model, Longitudinal Data Analysis, Survival Analysis

Contact this candidate