Research Assistant Resume

Education

Master of Science in Statistics

Full-time Research Assistantship with 3 publications on bio-statistical research
SAS Certification
Biostatistics and Statistical Epidemiology, Reliability Theory, Statistical Consulting Practicum, Statistical Computation, Applied Linear Model,Survival Analysis, Analysis of Variance of Designed Experiment, Statistical Analysis of QuantitativeData

Bachelor of Science in Computational Science

Ranked 2nd in National Mathematical Modeling Contest (top 5%)

Honors and Awards

Dean's list Fall 2008 Tianjin University of Commerce

Professional Experience

Confidential, Data Scientist 2011-Present
Statistical Consultant of Bioinformatics Consulting Center. Provide statistical solutions to independent researchers and companies. Help client with data interpretation, design statistical methodologies and creating analysis report, tables and graph.

Proficient in understanding of Study Protocols, SAP (Statistical analysis plan), CRF and FDA Guidelines.
Excellent ability in problem solving, data analysis, complex reports generation.
Introduce machine-learning algorithm including multivariate regression model and logistic models for prediction, optimization and data segmentation. Design ANOVA analysis for treatment study.
Writing code using SAS base, SQL, SAS/stat and SAS/Macros to extract, clean, validate and pool data from source, Generated tables, listings and graphs by using various procedures, PROC MEANS, PROC FREQ, PROC TRANSPOSE, PROC REPORT, PROC UNIVARIATE, PROC FREQ, PROC SORT, DATA STEP, PROC GCHART and PROC GPLOT.
Created SAS Customized Reports using SAS ODS to produce HTML, PDF and RTF format files.
Presents findings to client in project meetings.
Bioinformatician of a top research lab. I am working on Next Generation Sequencing (NGS) data analysis and administration for entire lab.
Designed Demultiplexing, Aligning and Peak-calling pipeline (Illumina and SOLiD) for entire lab
Developed Data Analysis & Archive System, which re-arranges, adds annotation, compresses each result file and finally posts statistics report and distributes results to individuals automatically (Shell, Python, SQL).

Confidential, Full Time Statistical Research Assistant 2009- 2011

Statistical Consulting. Assistant clients with optimal statistical solutions. Help with analysis plandesigning, write SAS programs according to plans, summarize and interpret discoveries and present final reports.
Survival analysis for lung cancer. Find CDF and survival function connects relation between infection time and survival rate through nonparametric estimation.

Research Projects

Deciphering germ cell genes in mammalian meiotic prophase (Yunfei Li, Debjit Ray, Ye P.Submitted)

Develop Seed Cluster method for selecting factorswith similar expression profile.
Automatically extract data from webpage of databases, filterand re-format useful data through Perl LWP.
Verify candidates through multivariate regression model through SAS glm.

A yeast\'s eye view of mammalian reproduction: cross-species gene co-expression in meiotic prophase (Yunfei Li, Lam KS, Dasgupta N, Ye P.BMC Systems Biology. 2010)

Predict novel meiotic genes through gene co-expression network based on order statistics.
Gene ontology analysis based on hypergeometric distribution.

Technical/ Professional Skills

Statistics Software:SAS/Stat, SAS/Graph, R/Bioconductor & ggplot2, SPSS
Other Programming Languages:Python, Shell, Perl, SQL andC++
Platforms: Linux, Unix, Mac OS X, Windows and HPC in Sun Grid Engine (SGE)

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