Primary Responsibilities:

This is a mid-level Statistical Programmer Analyst position. Key responsibilities and skills may include, but are not limited to:

• Analyze data and report statistical results.

• Develop SDTM specifications for programming datasets following CDISC standard.

• Independently develop SAS programs to create SDTM datasets.

• Develop ADaM analysis data specifications for programming following CDISC standard with minimum supervision.

• Independently develop SAS programs to create ADaM datasets for Analysis and Reporting based on Statistical Analysis Plan.

• Develop, debug, and maintain SAS programs and macros to create Tables, Listings and Graphs for Clinical Study Report following CDISC, industry guidelines and Statistical Analysis Plan.

• Independently implement SAS programs to generate Define-XML package for FDA submission.

• Develop SAS programmable edit checks to assist data monitoring, document and report data issue to Data Management.

• Implement statistical data analysis and communicate with statisticians for statistical input.

• Support regulatory electronic submissions to Food and Drug Administration (FDA) and other worldwide regulatory authorities.

• Perform other programming tasks as needed per management requests.

Qualifications

• Bachelor’s/Master’s degree in Statistics, Mathematics, Computer Science, Electrical Engineering, Biotechnology or related scientific disciplines with 4+ years of statistical programming experience required.

• Proven knowledge and training in high level computing languages such as SAS, C/C++, Java, R, Python, MATLAB and SQL. Database programming experience is a plus.

• Ability to translate statistical analysis plan into SAS programming language, to update and fix existing programs.

• Working knowledge of Good Clinical Practices, Clinical research, Clinical trial process and related regulatory requirements and terminology.

• Good understanding of clinical drug development process.

• Team player, strong communication skills and coordination skills.

• Detail oriented and ability to learn and adapt to changes.

• Proficient in Microsoft Office Suite, e.g., Word, Excel, PowerPoint, etc.