biostatistician
Resume:
Li Huang
*******@*****.*** mailto:*******@*****.***
Senior-Level Biostatistician
5+ years’ success utilizing project management and research expertise for established organizations
Qualified scientist and biostatistician with a strong background in statistical analysis. Possess extensive data and business analysis skills using machine learning algorithm and statistical model. Proven ability in development of reports and programs to generate tables, listings, and graphs according to project and/or organizational needs.
Technical Skills: SAS, SQL, R, Macro, SPSS, Prism, Tableau, Excel, PowerPoint, Word, Access
Work Experience
Sr. Biostatistician Contract Peregrine Pharmaceuticals, Inc. Sep 2016 ~ March 2017
Prepared Table, Figure and Listing tables related with CDISC datasets utilizing SAS Macro language for FDA submission. Reviewed CRF. Identified and gained stronger understanding of requested data through effective interaction with other departments. Performed imputation and transformation of dataset and presented findings, trends, and insightful recommendations to management.
Applied Cox Regression Model to analyze survival time of patients with different treatments
collected meta-analysis of effect of medical treatment on survival time in cancer patients, as well as Kaplan-Meier analysis to figure out prognostic and predictive biomarkers in medical treatment.
Sr. Scientist & Biostatistician Autotelic Inc. Dec 2015 ~ July 2016
Utilized parametric and non-parametric methods to conduct statistical analysis of pre-clinical, clinical, and non-clinical datasets, as well as calculated sample size. Presented results and clarified statistical methods and approaches to management and other departments.
Applied linear regression and ANCOVA model in SAS for the comparison of results from Phase III of combination therapy and monotherapy, proved synergistic effect in new treatment.
Found cluster of cytokines in different kinds of cancer patients by utilizing machine learning techniques.
Business Intelligence Analyst Quick Bridge Funding LCC. Mar 2015 ~ Nov 2015
Utilized logistic regression model to predict customer renewal probability using SAS programming, as well as wrote query in Microsoft SQL Server to extract, transform and aggregate data from big databases. Implemented extractions, transformations, loading (ETL). used TIBCO and Tableau to visualize big data, create dashboard and get daily, weekly and monthly reports
Optimized statistical efficiency and data quality through developing and implementing data collection systems.
Identified trends and patterns for business decision use by tracking and analyzing inventory and financial results.
Predicted number of renewal customers in three months by applying machine learning to analyze historical data.
Established strategic goals by gathering pertinent business, financial, service, and operations information from large-scale dataset.
Built up cumulative distribution function, probability density function, and survival function from historical dataset through development of nonparametric and simulation method.
Developed query to retrieve and analyze data from multiple tables in database.
Assistant Project Scientist Department of Pathology and Laboratory Medicine, Translational Cancer Biology Laboratory, University of California Irvine May 2013 ~ Mar 2015
Utilized microarray data to find differentially expressed genes in tumor microenvironment between different races of prostate cancer patients and find related pathway through MetaCore. Used R and Bioconductor for analysis of large dataset to identify RNA biomarkers in patients of prostate and breast cancers for diagnosis and prognosis. Attended one-week genetics class in UCLA of SNP analysis in Mendel.
Identified age-related alteration in gene expression in human prostate gland and compared age-related gene expression changes with those of cancer through applying statistical methods and using R programming
Analyzed Next Generation Sequencing (NGS) through secure shell (SSH) in Linux-based, high-performance computing (HPC) cluster for determination of cancer genomes.
Research Assistant Department of Mathematics & Statistics (DMS) CSULB Dec 2012 ~ Dec 2013
Help DMS customers from graduate schools or industry to resolve statistical problems by using SAS software and statistical model
Education
Master of Science in Applied Statistics California State University, Long Beach 2011~2012
Master of Science in Dentistry National University of Singapore, Singapore 2004 ~2006
Awards: Scholarship of scientific research in National University of Singapore
Bachelor of Dentistry Hubei Medical University, Wuhan, P. R. China 1990 ~1995
Affiliations
Member: American Statistical Association Orange County/Long Beach Chapter 2012 ~ Present
Editor: Newsletter of American Statistical Association Orange County/Long Beach Chapter2012 ~ Present
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