Clinical SAS Programmer
Employment Type : Full-Time
Responsibilities: - Providing statistical programming and validation support for clinical study reports, overseeing programming activities by external vendors (e.g., CROs) when necessary and coordinating programming activities among the study programmers to achieve timely progress in the following areas: SDTM datasets, ADaM datasets, statistical tables, figures, listings, and other internal and external requests (e.g., publications). Accessing and converting data to SAS from Database management system and PC file formats (e.g., MS Excel, text files).
- Working with external vendors to develop or monitor the content and structure of SAS data sets.
- Working closely with clinicians, statistician, and publication managers to generate and QC outputs for publications; review publication (abstract/manuscripts) to ensure accuracy, quality, and soundness of statistical methodologies; coordinate internal resource utilization for publication and generate activities metrics for management review.
- Providing input to the Database and CRF Development, creating edit check programs and providing feedback to the Data Management.
- Providing input in developing statistical analysis plans, specifications of analysis datasets, validation plans, and other related documents.
- Maintaining standards for programming activities.
- Working independently to accomplish tasks and goals defined by supervisor. Bringing in new ideas to improve the programming process
Requirements - Minimum of bachelor's degree in Statistics, Computer Science, Mathematics, or a related science discipline. Masters preferred.
- Minimum 5+ years' experience in SAS programming for phase I-IV clinical trials in a pharmaceutical/CRO environment. FDA submission experience preferred.
- Some project experience in a pharmaceutical/CRO programming environment or demonstrated leadership in a clinical pharmaceutical/CRO environment.
- Experience using SAS-Base, MACRO, STAT, GRAPH, ACCESS, MS Office.
- Experience in CDISC data standards, e.g. SDTM and ADaM
- Proven experience with Unix and Windows operating systems.
- Understanding of the software development life cycle.
- Understanding of FDA guidelines.