Statistical Programmer II
Roles and Responsibilties:
Responsible for building programs to create SAS datasets from the clinical database, external data sources, and other sources while following the clinical study's protocol or statistical plans.
Build SAS datasets from clinical database.
Utilize SDTM guidelines to build datasets.
Communicate with an internal team to create deliverables for pharmaceutical and biotechnology clients.
Implement analyses specified in the protocol or the Statistical Analysis Plan (SAP) while working with the project statistician.
Ensure CRF meets the guidelines of the protocol and check for consistency and adequacy.
Write SAS programs to generate tables, listings, and figures and analysis datasets.
Review CRF annotations and data specifications.
Work in tandem with Biostatistics and Data Management member on various clinical projects.
Identify and edit checks per the data validation plan or data management plan.
Study management reports using SAS.
Validate the programmed analysis datasets, tables, listing and figures.
Perform analyses defined in the statistical analysis.
Prepare clinical and statistical summary reports.
Communicate with programming and statistics leads.
Utilize SAS programming skills within protocol team and perform all programming required for clinical trial analysis and reporting.
Develop SAS coding and table templates for preparing, processing, and analyzing clinical data.
Establish monitoring of data transfers for ongoing trials to identify study conduct or data quality issues.
Master’s in computer science or related filed with 2 years extensive industry experience will be considered or Bachelor’s Degree in Computer Science with 4 years industry experience.
Strong competence in SAS/Base, SAS/Macro, and SAS/STAT programming.
Experience with SDTM and ADaM standards.
Excellent interpersonal and communication skills.
Fluent in the English language (both verbal and written) and Motivation and skills for growth into project management is desirable.
SAS certifications preferred.