Data Project

YING QIAN

**** ********* ******, *** ***, Pittsburgh, PA 15213 ● 412-***-**** ● ********.**@*****.***

PROFILE

Master of Science student studying biostatistics with increasing skills in SAS, R, STATA, Python, Unix, SPSS,

Octave programs. Skilled in analyzing research data. Fluent in English and Chinese.

EDUCATION

Master of Science in Biostatistics Expected: Jun. 2015

University of Pittsburgh, Pittsburgh, PA GPA: 3.6

Graduate School of Public Heath

Bachelor of Science in Biological Science Jun. 2013

Nanjing Agricultural University, Nanjing, China

CERTIFICATION

Nov. 2014

Collaborative Institutional Training Initiative (CITI) Certification

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Aug. 2014

SAS Base Programming Version 9 Certification

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RELATED EXPERIENCE

Apr. 2014-Dec. 2014

Research Data Statistician

University of Pittsburgh, Pittsburgh, PA

• Performed data analysis for University of Pittsburgh Medical Center (UPMC), and University of Pittsburgh

Cancer Institute (UPCI) on lymphoma cancer research project

• Applied univariate and multivariate cox regression to assess the association between continuous covariates and

overall survival for lymphoma research data with double or triple mutations

• Used SAS and R package to do exact log-rank tests and other related statistical methods to test the relationship

between categorical variables and overall survival

Fall 2014

Consulting Practicum Data Statistician

University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA

• Performed simple data analyses using Excel and Stata for data collected from nursing surveys and nursing

intervention tracking forms

• Provided suggestions and interpretations to help with client’s dissertation project on mental health nurses

caring for adult patients with symptoms of anxiety and agitation

Spring 2014

Research Data Statistician (Class Project)

University of Pittsburgh, Graduate School of Public Health, Pittsburgh, PA

• Performed simple regression analyses and multiple regression analyses based on 50 observations

• Applied multiple linear regression to fit a model to establish a relationship between breast-milk intake and

multiple predicted variables (e.g. weight of child, sex, weight of mother and height of mother)

Summer 2011

Team Member for Microbiological Research and Data Statistician

Investigation Project on the Water Quality, Jurong, China

• Prepared Nutritious agar medium for coating and Fuchsin Basic Sodium Sulfite medium for testing

• Diluted and coated the sample

• Collected and analyzed data for environmental protection project to protect water

OTHER EXPERIENCE

Jan. 2015 to Present

Teaching Assistant of Statistics and Probability for Business Management

University of Pittsburgh, Kenneth P. Dietrich School of Arts and Sciences,

Department of Statistics, Pittsburgh, PA

• Teach four recitations each week for data management with Excel, and make sure that students are learning the

concepts from the lecture notes and understanding how to apply them

Contact this candidate