• Learn about clinical trials regarding study design, data collection, cleaning, and analysis.• Familiarize myself to basic regulations, industry guidelines and company SOPs.• Gain an understanding of various therapeutic areas, disease states, medical conditions, treatment modalities, and medical assessment.• Develop an understanding of main safety data modules such demographic data, adverse event, vital sign, laboratory, and study medications.• Generation of SDTM/ADaM specifications and CRF.• Learn and practice macro programming to make program more efficient and flexible.• Develop SAS programs to perform quality check of raw data and SDTM/ADaM QC.• Follow SAP and TLG shells to QC and/or create tables, listings and graphs.

Worked in group of five to provided statistical support for a non-statistical investigator, creating regression-based normative data and building multiple linear regression model. Finally check the assumption for regression and do diagnosis test on models.

Investigated the feasibility of blood chemistry testing as an accurate and cost-effective screening tool for Hepatitis C, using data from the University of California, Irvine Machine Learning Repository, and studied laboratory test results from blood donors and Hepatitis C patients, while using demographic information such as age and gender

Completed a literature review for an academic research project with the application of machine learning and gene expression for cancer classification, reviewed scientific studies and proven research methodologies on cancer classification.