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Stefanini Group
Senior Statistical Programming Analyst - Remote / Telecommute
Job summary
A leading technology solutions provider in Brazil is seeking an experienced SAS Programmer to create and maintain SAS programs for clinical and real-world data analysis. The ideal candidate will have a bachelor’s degree in a technical field and 5-7 years of experience. Proficiency in SAS and the ability to collaborate effectively with cross-functional teams is essential. This role focuses on ensuring data integrity and delivering accurate outputs for regulatory purposes.
Qualifications
- 5-7 years of experience in a relevant role required.
- Extensive SAS experience essential for the role.
- Experience with clinical data and real-world data is preferred.
Responsibilities
- Create and maintain SAS programs for data mapping.
- Collaborate with teams to ensure data integrity.
- Deliver outputs for regulatory and research purposes.
Skills
Education
Tools
Pay Range: $64.30hr - $67.30hr
- Create and maintain SAS programs to map medical registry data to a standard data structure.
- Create tables and listings using SAS software from SAS datasets.
- Validate processes and SAS programs using proc compare and other QC methods.
- Develop and maintain SAS programs for clinical and real-world data analysis.
- Work with CDISC standards (SDTM, ADaM) – experience is a major plus.
- Perform PASR reporting and/or IJ analysis as needed.
- Analyze real-world insurance files, registry data, and post‑market trial registry datasets.
- Collaborate with CROs, Sponsors, and cross‑functional teams to ensure data integrity and compliance.
- Deliver accurate, timely outputs for regulatory and research purposes.
- Bachelor's degree in a technical field such as computer science, computer engineering, or a related field is required.
- 5‑7 years of experience required.
- Extensive SAS experience.
- Experience with real‑world data (medical registries, insurance files, CMS, etc.) is a plus.
- Familiarity with CDISC (SDTM and ADaM) is a plus.
- Proficiency in SAS programming for clinical and real‑world data.
- Familiarity with CDISC standards (highly preferred).
- Experience with PASR reports or IJ analysis.
- Strong background in handling insurance claims data, registries, and post‑market trial data.
- Ability to work independently and proactively with minimal supervision.
- Excellent communication and collaboration skills – a true team player.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.