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Project Data

Location:
Chicago, Illinois, 60540, United States
Salary:
60,000-80,000
Posted:
January 05, 2012
Email:
cx4h69@r.postjobfree.com
Contact Info:
***-****@****.***


QUALIFICATION

• Solid background in data analysis and modeling

• Significant skill and experience manipulating large datasets with SAS, SAS/SQL, SAS/Macro

• Strong analytic ability with attention to quality of data and correctness of reports

• Proficient oral & written communication skills

• Self-motivated, result-oriented and desire for constant learning

• Strong commitment to teamwork and quality

EDUCATION

Master in Statistics expected 03/2012

University of Chicago, Chicago, IL

Ph.D. in Biological Science 07/ 2001

Tsinghua University, Beijing, China

Bachelor of Science in Automation 07/1995

Tsinghua University, Beijing, China

CERTIFICATION

• SAS Certified Advance Programmer for SAS 9 09/30/2010

• SAS Certified Base Programmer for SAS 9 09/21/2010

TECHNIQUE SKILLS

• Proficient in SAS base, SAS Macro, SAS/SQL, ODS

• Proficient in R, Excel including Pivot table

• Working knowledge: Microsoft Office, Illustrator

• Familiar with Mac OSX system, Linux shell scripts, HTML, Perl

WORKING EXPERIENCE

Research Assistant 05/2010~present

NORC(National Opinion Research Center) at University of Chicago (http://www.norc.org)

Project: National Immunization Survey-Teen (NIS-Teen) 2009 annual data delivery

• Manipulate and categorize the NIS-Teen 2009 national survey data

• 5827 respondents’ records were analyzed

• Calculate the estimate coverage of vaccination with survey stratum/sampling weight

• Construct the graphs profiles for the analysis with EXCEL

• Generate delivery files to CDC.

Project: National Longitudinal Surveys (NLS) data dissemination

• Build recoding algorithms for harmonization

• Determine and extract the appropriate set of variables from six NLS Cohorts

• Harmonize and integrate the longitudinal data across all cohorts and time-frames

• Generate translation tables for recoding the original NLS variables into normalized values.

• Perform appropriate statistical analysis

• Total 6 cohorts, 42,171 respondents and over 100 variables were analyzed

Project: NLSY1997 college transcript pre-proposal study

• Determine the appropriate event history variables from NLSY97 cohort

• Extract, transform and load the event history monthly data from 1997 to 2010

• Manipulate and integrate variables across 13 data collection rounds

• Construct analytic variables that trace particular events across time

• Perform statistics analysis with demographic parameters

• Generate logistic model for college attainments

• Provide detailed chronological information about students’ enrollment patterns across post-secondary institutions

• Prepare scientific documentation of variable construction

• Total 8985 respondents and 640 history event variables were analyzed

Project: Follow-up study of the High School and Beyond respondents

• Compile information from different electronic files, including cross-walk files and different locating files

• Extract the names, address, social security number information from locating file for 14,825 sophomores and 11,995 seniors’ respondents.

• Preparation of initial locating request

• Draw random samples stratified on sex, educational level and status

Used technologies: SAS Base, SAS SQL, SAS MACRO, EXCEL

Research Assistant/Associate 02/2002~present

Ben May Department for Cancer Research, University of Chicago

• Design and perform biological experiments

• Analyze the data and write the reports to supervisor

• Write papers and proposals

• Present and discuss the result in the lab/department meeting and conference

REFERENCES AVAILABLE UPON REQUIRES