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Sr. Sas Programmer Resume Profile

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PROFESSIONAL SUMMARY

8 Years SAS Programming experience with Base SAS, Macro language, SAS SQL, SAS/STAT, and etc. Academic, industrial and government working experience. Experience with pre/clinical datasets for drugs development, and large-scale survey databases for data integration, ETL, marts, analysis, statistical summary and report. Knowledge of CDISCs and models SDTM . BS in Clinical Medicine, and Ph.D. in Pharmacology. US citizen with Public Trust Clearance.

PROFESSIONAL EXPERIENCE

Sr. SAS Programmer Contractor .Confidential, Demographic Statistical Methods Division DSMD , 4600 Silver Hill Road, Suitland, MD, 20746 Project: Verification of Demographic Surveys Sample Redesign. Responsible for designing, developing software to construct databases as bases to verify/QC other datasets and generate report using SAS. Extract data from oracle data base into SAS and develop SAS code using SAS procedures i.e. Data Step, Proc SQL, and SAS Macros for dataset manipulation to generate the base datasets. Verification of datasets variable's length, format range, etc. using Hash object, Proc Compare, Proc SQL, Proc contents, etc. Create SAS reports using SAS procedures i.e. Proc Print, Report, Tabulate and generate ODS output in various formats PDF HTML EXCEL to server or website as required. Reviewing, modifying, and updating SAS code to meet new requirements, and optimized SAS code to make the process more efficient using Macros, Troubleshoot process failures, implement process improvements and participate in designing and executing data quality and system tests. Documentation of the SAS code developed as well as user guides for the sample control file to verification. Documentation of progress each project and generate weekly and final reports SAS Programmer/Investigator Confidential 1. Pre/clinical data analysis Served as Data Analyst/SAS Programmer designed a control system and developed SAS code for period collecting and updating research data from research labs/sites using SAS programing to build up a large dataset Data Warehouse , and prepared supportive programming and documents for clinical trial phase II application. Importing data from Excel, ASCII, etc. , integrating, ETL dataset and mapping dataset using SAS, Excel, SigmaPlot, StatTransfer, Prism, etc. Monitoring research staffs for performing data management data cleaning, sorting, transforming, exporting, creating graphs, and tables and well as to do flow . Identify bias and inconsistencies in dataset develop and editing procedures to modify the dataset and oversee the modification of the dataset. Conducting advanced data analysis and programming if needed, including check and validate programming codes, Proc SQL and Macros. Extract dataset from large dataset to generate new dataset for statistical analysis use SAS procedures i.e. Proc.Univariate, Proc. mean Proc. Freq, Proc. Reg. TTEST, ANOVA. etc. . Using ODS to output report to website as required. 2. Biomedical research. Severed as Principle Investigator of pre/clinical research projects and collaborated with Biotech/Pharmaceutical companies to test neuroprotective drugs using comprehensive clinical relevant assessments, such as intracranial pressure, brain tissue oxygen tension, electrophysiology EEG, and EKG . Discuss with team members, statistician for decisions related to study design. Preparing reports to explain findings and implications of study providing briefings in meetings, scientific conferences, and annual R A review analysis peer review of research program. Disseminating results in publications, summaries, manuscripts writing/reviewing research protocols, proposals, progress reports, and manuscripts. : Consultant contractor , Confidential Pre/clinical research for drug development and mapping data based on standard model, and conducting data analysis. : Instructor, Confidential Conducted pre-clinical research to evaluate neuroprotective drugs on cardiovascular disease, stroke and Alzheimer's disease data analysis and graph using SigmaPlot, Excel, etc. : Research Pharmacologist, Confidential : Postdoctoral Fellow, Dept. of Cardiology. Johns Hopkins University, School of Medicine Conducted drugs discovery study collaborated with Biotech/ Pharmaceutical companies to determine the effect of NOS inhibitors, PARP inhibitors, SOD mimetic, and peroxynitrite decomposition catalysts following myocardial/cerebral ischemia in rodent. SKILLS/KNOWLEDGE 1. Data Analysis: Certified Base Programming for SAS 9. Data importing via SQL pass through, my libname statement data integration , ETL, cleaning and manipulation SAS function, sorting, merging, rotating, sub-set do loops, Procs Freq, Mean, Tabulate, Summary and Report, etc. , graph and statistical analysis procedures Proc.Univariate, Reg. TTES, Anova. etc. . Data Step, Hash object, Proc SQL skills to merge, verify, and to look up variables. Advance SAS skills include Proc SQL processing with SAS to create new datasets for analysis, and SAS Micro for improving/shorting the software. ODS output reports PDF, HTML, EXCEL, etc. to sever or website if required. Experience with using Microsoft, Prism, Excel, SigmaPlot, StatTransfer, IIS, and Adobe. Experience with connectivity to mainframe or oracle database. Experience with data build-up large dataset data warehouse based on domains/standard models. Knowledge of SAS enterprise guide and of SAS enterprise Miner. Knowledge/experience of pharmacological/clinical trial terminologies, such as, CDISC, CRF, SDTM domains and ADaM dataset. ED50, safety, efficacy, ISS and ISE, Phase1-4 variables content of clinical and lab dataset. Knowledge of generating Ad-hoc, crystal reports, and advanced skill of excel. Degrees include following semester hours that associated to data analysis: Mathematics 2.5 Preventive Medicine/Public Health 6.0 Epidemiology 1.5 Computer Science 3.0 Statistics 8.0 2. Biomedical Research: Experimental design, drug development, statistical analysis, report, manuscript, etc. Ability of project management.

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