Overview
Skills
Job Details
Description:
Location: Remote, all time zones welcome!
Key Responsibilities:
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.
Required Skills & Experience:
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.
Preferred Attributes:
Self-starter with strong problem-solving skills.
Comfortable working across time zones and remote environments.
Prior experience in pharma/biotech, clinical trials, or post-market surveillance.
Summary:
The main function of a Sr. Analyst, Statistical Programming is to use SAS software, including advanced tools such as SAS macros, to create SAS datasets and reports.
Job Responsibilities:
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.
Qualifications:
Bachelor's degree in a technical field such as computer science, computer engineering or related field required
5+ years 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.