Participate in clinical studies of targeted therapies in non-small cell lung cancer (NSCLC), glioblastoma (GBM) and other solid tumors. Design and create in-house database of clinical trial data, sample inventory and biomarker data to support cancer drug development and increase efficiency and cost saving in information extraction and analysis. Created R and SAS programs to generate graphs, tables and certain statistical analyses related to large scale genomic data primary for exploratory research and investigation Extract comprehensive patient reports to provide complete information on common oncogenic drivers and new information on complex or rare biomarkers. Maintain and monitor the electric medical records (EMRs) using R and Excel. Provide statistical programming support to data management and biostatistics team using SAS and CDISC standards for the preparation of US and ex-US new drug applications (NDAs). Create multiple data visualization formats including tables, listing and figures (TLFs) in R or SAS to better understand data distributions and illustrated analytic results in different projects. Conduct quality control for clinical trial data and data management process for linked datasets. Support scientific presentations, publications, patent applications and clinical documentations. Sample management of tissue samples including tracking, inventory and logistics.

Skills and Requirements:
US Master Degree in Public Health or Biostatistics. Full-Time. USD101816.