Michael T. Fan

***** *********** **, **********, ** 20874

301-***-****(Home); 240-***-****(Mobile); acek3d@r.postjobfree.com

Objective

Certified SAS BASE and Advanced Programmer with strong life science /clinical study and

pharmaceutical biologics development experience, seeking a SAS Programmer position where I can put

forth the best of my knowledge and professional skills for the growth of your organization

Summary of Qualifications

• More than 5 years of hands on experience in database management and SAS analysis

• Superior expertise in SAS programming skills in research and clinical data environments

• Statistics analysis experience on logistical regression and data modeling

• Familiar with the practices and methodology of all phases (I IV) of clinical trials

• Basic and clinical research experience with a proven track record of publications

• Expertise in data cleaning and validating of disorganized data

• Proficient in forming, organizing, managing teams

• Excellent written, verbal, interpersonal communication, and problem solving ability

Education and Certificate

• SAS Certified Advanced Programmer for SAS 9, Certificate Number: AP010253v9

• SAS Certified Base Programmer for SAS 9, Certificate Number: BP028890v9

• Beijing Medical University, Beijing, China, Internal Medicine, Ph.D., 1999

• Beijing Medical University, Beijing, China, Infectious Diseases, Master, 1993

• Southern Medical University, Guangzhou, China, Medicine, M.D., 1986

Skills

Clinical Trial and Research Skills

• In depth knowledge of Clinical practices/management, ICH guidelines/GCP expertise, study

designs, protocol/study procedures manuals, SOP implementations, monitoring reports/clinical study

forms, source documentation verification, investigator brochures, quality assurance audits

Bioinformatics

• Data analysis using statistics and graphing software(SAS, SPSS, STATA, EXCEL, ACCESS,

Matlab, etc), genomic and mRNA microarray analysis tools (GeneSpring, R, BRB, etc),

gene sequence analysis, protein structural analysis

SAS programming

• SAS/BASE, SAS/GRAPH, SAS/MACRO, SAS/SQL, SAS/ACCESS, SAS/ODS, SAS/STAT,

SAS/Enterprise Guide, data visualization

• Database: Oracle, MS SQL Server, MS Access, DB2

• Language: C, C++, and Oracle, perl

• Operating System: Windows, UNIX, Linux System

• Others: MS Project, MS Power Point, Excel, Outlook, Access

Professional Experience

April 2014 present Senior SAS programmer

Biotechnology Industry: Confidential

• Successfully developed a macro program to generate codebooks of different large datasets

• Analyzed data with statistical SAS procedure like means, freq, corr, reg, and anova

• Performed SAS programming for data cleaning, validating, and QC

• Developed Macro programs to organize and analyze clinical research data

April 2012 March 2014 SAS programmer

Biotechnology Industry: Confidential

• Reviewed about documents related to clinical trials like clinical protocol, SAP, Clinical Study

Report

• Developed SAS base programs and Macros for data extracting, cleaning, validating, analyzing,

updating, and reporting

• Imported from or exported to other data file formats, including delimited files, Microsoft Excel,

PDF, and access tables

• Created datasets and edited check programs to compare with the raw source datasets to find

data discrepancies

• Generated queries, performed database testing, revised and updated edits to clean data

• Used statistical analysis procedures in the generation of reports periodically for analyzing the

clinical data using SAS procedures

• Generated tables, listings and graphs by using PROC Tabulate, PROC Sql, and PROC GChart.

• Developed various forms of reports using SAS ODS facility.

• Interacted with Statisticians, Data Managers, and Clinical Research Managers to provide SAS

programming in analyzing clinical trial data

• Worked on the summary of clinical data like Demographic, Adverse Events, and therapeutic

intervention

• Participated in project meetings to discuss about the work progress and findings

Aug 2007 Mar 2012 Research Fellow

Dermatology Branch, National Cancer Institute, Bethesda, MD

• Collected clinical data and created analysis data sets

• Analyzed data and generated report using SAS

• Trained in Good Clinical Practice, Regulatory Compliance and FDA Guidelines

• Processed adverse event data in accordance with GCP and other regulatory guidelines

• Bioinformatics and biostatistics guided experimental design and data analysis

• Collaborated with pharmaceutical companies in evaluating the therapeutic drug

• Microarray analysis with software tools, such as Genespring, R, BRB

• Prepared reports and presented results in international meetings

Mar 2005 Jul 2007 Research Associate

Department of Pathology, University of Maryland School of Medicine, Baltimore, MD

• Took SAS courses and obtained hand on training on SAS programming

• Involved in writing and updating clinical study protocol packages for approval by the IRB

• Participated in project plan, supervised and coordinated clinical studies

• Collaborated with physician staff in case management of study patients

• Identified genetic biomarkers for early diagnosis of lung cancer

• Performed statistical analysis (Wilcoxon rank sum test, Fisher's exact test, Spearman's rank

correlation coefficient, logistical regression, etc.) using SAS software

• Generated graphs(Kaplan Meier survival curve, etc) and reports with SAS

• Created project reports, documents, presentations, and publications

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