RWE Programmer (Coimbatore)

Job Description RWE SAS Programmer Role: RWE SAS Programmer Experience: 612 Years Location: Remote About the Role We are looking for an experienced SAS Programmer with a robust background in Real World Evidence (RWE) / Real World Data (RWD) to join our growing team. The ideal candidate will have hands-on experience working with large real-world datasets and translating them into meaningful analytical outputs. Key Responsibilities - Develop, validate, and maintain SAS programs for RWE studies using real-world data sources such as claims, EHR, and patient registries - Work with Common Data Models (CDM/OMOP) and Clinical Data Repositories (CDR) for data standardization and extraction - Collaborate with biostatisticians, epidemiologists, and medical teams to support study design and analysis - Ensure data quality, integrity, and compliance with project timelines - Prepare and review analysis datasets, tables, listings, and figures (TLFs) Must-Have Skills - Extensive hands-on SAS programming experience (Base SAS, SAS Macro, PROC SQL) - Prior experience in RWE/RWD projects - Exposure to CDM, CDR, or OMOP data structures - Familiarity with real-world data sources claims, EHR/EMR, registries Job Description RWE SAS Programmer Role: RWE SAS Programmer Experience: 612 Years Location: Remote About the Role We are looking for an experienced SAS Programmer with a robust background in Real World Evidence (RWE) / Real World Data (RWD) to join our growing team. The ideal candidate will have hands-on experience working with large real-world datasets and translating them into meaningful analytical outputs. Key Responsibilities - Develop, validate, and maintain SAS programs for RWE studies using real-world data sources such as claims, EHR, and patient registries - Work with Common Data Models (CDM/OMOP) and Clinical Data Repositories (CDR) for data standardization and extraction - Collaborate with biostatisticians, epidemiologists, and medical teams to support study design and analysis - Ensure data quality, integrity, and compliance with project timelines - Prepare and review analysis datasets, tables, listings, and figures (TLFs) Must-Have Skills - Extensive hands-on SAS programming experience (Base SAS, SAS Macro, PROC SQL) - Prior experience in RWE/RWD projects - Exposure to CDM, CDR, or OMOP data structures - Familiarity with real-world data sources claims, EHR/EMR, registries