Sr. Biostatistician Resume

SUMMARY:

5+ years’ success utilizing project management and research expertise for established organizationsQualified scientist and biostatistician with a strong background in statistical analysis. Possess extensive data and business analysis skills. 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, AccessWork

PROFESSIONAL EXPERIENCE:

Sr. Biostatistician

Confidential

Responsibilities:

Prepared Table, Figure and Listing tables related with Confidential datasets utilizing SAS Macro language.
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

Confidential

Responsibilities:

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 Confidential model in SAS for the comparison of results from Phase III of combination therapy and monotherapy.
Proved synergistic effect of combination treatment.
Found cluster of cytokines in different kinds of cancer patients by utilizing machine learning techniques.

Business Intelligence Analyst

Confidential

Responsibilities:

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

Confidential, Irvine

Responsibilities:

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 Confidential of SNP analysis in Confidential .
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 Confidential Sequencing ( Confidential ) through secure shell ( Confidential ) in Linux-based, high-performance computing ( Confidential ) cluster for determination of cancer genomes.
Help DMS customers from graduate schools or industry to resolve statistical problems by using SAS software and statistical model

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