Yingyi Wang Email & Phone Number

Rockville, Md, Us

Rockville, Md, Us

Cambridge, Cambridgeshire, Gb

Cambridge, Cambridgeshire, Gb

Cambridge, Cambridgeshire, Gb

Bethesda, Md, Us

SUMMARYI am a SAS Certified Advanced Programmer with industry experience on oncology clinical studies. My skills include programming CDISC standard datasets, implementing statistical analyses, and generating tables, listings and figures (TLFs). I have supported multiple Phase II-III oncology studies as a primary SAS programmer, applying statistical methodologies such as survival analysis, linear regression models, generalized linear models and generating TLFs for inclusion in stand-alone reports and clinical study reports for FDA submission. My experience also includes analysis and SAS programming for analytical validation and clinical validation studies of in vitro diagnostics (IVDs) and medical devices in support of FDA submissions. AREAS OF EXPERTISETherapeutic Experience: • Oncology• CNS disorders• Infectious diseases• Kidney disease• CardiovascularProduct Experience:• Cancer therapeutics• Biomarker-guided cancer therapies• Cardiovascular agents• In Vitro Diagnostics (IVDs)• Medical DevicesPrecision for Medicine, Frederick, MD July 2015 - PresentStatistical Analyst • Used SAS programming to generate analysis datasets, pooled datasets, listings, tables, and figures for phase I-IV clinical trial results of statistical analyses including FDA requests and submission studies• Performed the statistical analyses including survival analysis, linear regression analysis and logistic regression analysis, and statistical modeling (GLM, Logistic model, Cox model) of clinical trials and observational studies using SAS • Created Submission Datasets in CDISC SDTM and Analysis Datasets in CDISC ADaM standards.• Cleaned and analyzed data in SAS with various procedures such as PROC MEANS, PROC UNIVARIATE, PROC FREQ, PROC TRANSPOSE, PROC REPORT etc.

• Collaborate with Walter Reed National Military Medical Center to analyze the risk factors associated with fractures in division I collegiate football players by utilizing SAS and Excel• Analyze output results of different models implemented by both SAS and Statistical Software for Epidemiology Research (SSER, a standalone Java Statistics Application from DSI) • Use the software to conduct hypothesis-driven, model selection and data exploration based on data type, study design and hypothesis• Summarize the manual of SSER software to assist users in data analyzing and model building • Create reports for Walter Reed Army Institute of Research to demonstrate the software being developed. Present and introduce the functionality of the software to non-statisticians

Beijing, Cn

• Collaborated with Puyang Weilin (chemical company) for their stock valuation project • Computed business circumstances by using mathematical valuation modules and other key financial predictors • Established a valuation system and finished the report to predict the company’s profit break point • Joined the valuation project to analyze the operation conditions of China’s OEM Industry• Collected financial data and calculated the financial indicators like ROE, Financial leverage, return on assets by DuPont analysis modeling• Analyzed targeted companies’ inner operation risk, efficiency and cash position with the data• Forecasted targeted companies’ potential financing needs and future earnings trend after the analysis

New York, New York, Us

• Organized a reception for new interns and introduced to them about their future daily responsibilities• Explored bank’s operating procedures by rotating in departments

Beijing, Beijing, Cn

• Assisted with organizing a regional forum on investment abroad for high-end clients• Conducted a survey on oil resources in Africa for strategic investors

Beijing, Cn

• Received training on financial bond underwriting• Assisted with analyzing risk factors for IPO prospectuses• Presented the bank’s financial products to clients

Master Of Science (Ms), Statistics

Bachelor Of Arts (Ba), Economics