Changxia Shao

Changxia Shao Hockessin, DE

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Work:

Merck

Dec 2013 to 2000
Project Manager III Thomas Jefferson University

Sep 2012 to 2000
NIH T32 Trainee Texas Tech University
Lubbock, TX
Aug 2006 to May 2010
Research Assistant Shanghai Cancer Institute

Research Associate

Education:

Texas Tech University
Lubbock, TX
2006 to 2010
PhD in Molecular Epidemiology / Environmental Toxicology Fudan University
2002 to 2005
MPH in Biostatistics and Epidemiology

Skills:

SAS, Statistics, Epidemiology

Changxia Shao Wilmington, DE

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Work:

The Scripps Research Institute

Dec 2010 to Apr 2012
Research Associate Moores UCSD Cancer Center

Jul 2010 to Dec 2010
Volunteer TIEHH, Texas Tech University

Aug 2006 to May 2010
Research assistant TIEHH, Texas Tech University

Jan 2009 to Jul 2009
Teaching assistant Shanghai Cancer Institute

Jul 2005 to Jul 2006
Assistant Professor

Education:

Texas Tech University
Jan 2006 to Jan 2010
PhD in Environmental Toxicology/Molecular Epidemiology Shanghai Cancer Institute, Fudan University
Jan 2002 to Jan 2006
MPH in Epidemiology and Biostatistics

Skills:

Molecular biology and microbiology techniques: Sub-cloning and maintenance human normal or cancer cells, and bacteria strains, ligation, electroporation, transfection with bacteriophage, and transduction; extraction cell components such as nucleus and cytoplasm, DNA, RNA and proteins. Genetic techniques: Gene engineering techniques, DNA and RNA isolation and purification, reverse transcription, polymerase chain reaction (PCR), real-time PCR (RT-PCR), array-based SYBR Green RT-PCR, gene mutation and deletion, and so on. Proteomic techniques: Antibody microarray, glycan-detection antibody microarray, two-dimensional gel electrophoresis (2D), 2D difference gel electrophoresis (2D-DIGE), Western blot, immunoprecipitation, immunohistochemical (IHC), immunocytochemistry (ICC), protein digestion, and protein identification by mass spectrometry (LC-MS, MALDI-TOF). Biostatistics: SAS, SPSS, R, Epi data, FoxBase+, Sigmaplot, and so on. Computer skills: Microsoft Office (Word, Excel, PowerPoint, Access) and protein gel analysis softwares (DeCyder, ImageMaster, ImageQuant, Quantity One, and etc.).