Biostatistician with statistical programming

Zijie Shen

*** ******** **** ******, ** ***** Cell: 908-***-**** Email: ************@*****.***

PROFILE: Quantitative solutions and analytics professional seeking a position as a biostatistician

Strong SAS (Certified Advanced Programmer for SAS 9) and R programming skills

Experience in data management and manipulation, statistical modeling and analytics

Solid knowledge in clinical trails terminology, procedures and statistical design of experiment

Strong teamwork skills and proactive communicator, integrity and respect for people

EDUCATION

M.S. in Biostatistics, GPA: 3.83, May 2016

Rutgers University, New Brunswick, New Jersey

B.E. in Pharmaceutical Engineering, GPA: 3.73, May 2014

Southeast University, Nanjing, Jiangsu, China

RELEVANT COURSES

Clinical Trials: Design and Analysis... Lifetime Data Analysis Applied Longitudinal Data Analysis

Biometrics Computing Advanced Regression Methods Categorical Data Analysis

Biostatistics Theory I&II Design of Experiment Principles and Methods of Epidemiology

SKILLS

Technical: Statistical programming: SAS(certified advanced programmer for SAS 9 Credential) including SAS Base,

SAS Macro,SAS/SQL, SAS Graph, SAS/ODS, SAS REPORT; R

Statistical and analytical: Generalized Linear Model including Multinomial Regression, Logistic Regression,

Poisson Regression; Data Visualization; Data Simulation; Statistical Consulting

Oral and Written Communication: Excellent in English, native language in Mandarin

Excellent interpersonal skills and active listening

EXPERIENCE AND PROJECTS

Robert Wood Johnson Medical School, Dept. of Psychiatry, Statistical Assistant, 01/2015-Present

Create SAS/ Macros efficiently to extract, compile and organize five hundred subject-and-visit-specific text data files directly from medical devices which have been used to record patient data

Conduct statistical analysis for modeling repeated measures of PC20FEV1, to evaluate effect of biofeedback treatment compared to placebo in improving asthma control

Clean data, construct and merge multiple datasets from phase III clinical trails

Conduct exploratory analysis and create statistical reports for principal statistician and investigators to review

Study the protocol and methods presented in the current literature to apply the causal mediation analysis necessary to understand the causal mechanism in the effect of HRV biofeedback treatment for asthma control

Interpret complex mediation analysis results for the principle investigator efficiently and precisely

Submitted an abstract and accepted an invitation for a poster presentation at the Applied Psychology Conference, March 9, 2016 in Seattle,WA

Design data simulations for censoring data using R based on maximum likelihood method

Generate tables, listing and figures using Excel, SAS and R for presentation and publication

Applied Longitudinal Data Analysis Project using SAS, R and Excel, 09/2015-12/2015

Designed efficacy and safety analysis by marginal modeling and mixed effect modeling method to fit the data from both population-averaged and patient-specific perspectives

Conducted Post-Hoc analyses for the clinical data using the method of generalized estimating equations(GEE) and SAS procedure (PROC GLIMMIX, PROC MIXED, PROC GENMOD)

Macrostat Inc. Shanghai, China, Intern - Clinical Data Manager Assistant, 07/1/2013-08/31/2013

Reviewed three hundred annotated Case Report Forms (CRFs) in a week to meet the deadline

Identified several potential data problems in the CRFs which were neglected by other reviewer

Studied FDA/ICH guidelines, SDTM/ADaM and understand clinical trail phases and terminologies

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