statistical programmer intern

Yunying (Emily) Zhang

Tel: 323-***-**** Email: ********@***.***

Skills

SAS Certified Base and Advance Programmer for SAS 9

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Statistical software: SAS/SQL, SAS/Graphs, SAS/Macro, SAS/ODS, MS Access, STATA, SPSS,

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PASS and R

Basic understanding of CDISC, ADaM and SDTM

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Education

University of Southern California (USC), Keck School of Preventive Medicine 9/2012 - 8/2014

Master of Science in Applied Biostatistics and Epidemiology

Course: data analysis, statistical methods for epidemiological studies, study design of clinical

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trial, environmental health, molecular and genetic epidemiology

Thesis (published in USC digital library)

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“The study of germ cell tumors and related conditions: An analysis of self-reported data with

characterization and comparison of Family History Questionnaires respondents and non-

respondents”

China Agricultural University (CAU) 9/2007 – 6/2012

Bachelor of Veterinary Medicine

• Honored graduate, University Scholarship for both academic and social work excellence

• 2nd Prize in the “Challenge Cup” business plan contest

Experience

Statistical Programmer Intern at USC Medical Center 11/2012 - Present

“The study of cause of testicular germ cell tumors and related conditions”

Developed ad hoc queries in MS Access to manage database of 17,833 Testicular Cancer (TC)

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patients from California Cancer Registry (CCR) for conducting research studies

Used SAS/STATA to develop a logistic regression model, adjusted for confounder and

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determined which TC patients group would like to response to medical questionnaire basing on

their age, ethnic, etc.

Developed SAS programs to generated summary TLGs (tables, listings and graphs) for

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presentation and publication

Project

Study design in clinical trial 2/2014 - 6/2014

“A Randomized Phase II Clinical Trial: Fecal microbiome transplant plus VSL#3, Saccharomyces

boulardii, or Lactobacillus probiotics for recurrent Clostridium difficile infection in participants

with inflammatory bowel disease”

Specialized in Design of Experiment (DOE), calculated sample sizes required for Phase II

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clinical trial for investigational medications and contributed to statistical sections of protocols

Volunteer

Volunteer teacher of public health for “Teaching for China” in Beijing 2011

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