Rwe programmer
Ephicacy · Kakinada, India
FULL TIMEpermanent
Job Description
Job Description — RWE SAS Programmer
Role: RWE SAS Programmer Experience: 6–12 Years Location: Remote
About the Role
We are looking for an experienced SAS Programmer with a strong 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
Role: RWE SAS Programmer Experience: 6–12 Years Location: Remote
About the Role
We are looking for an experienced SAS Programmer with a strong 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
Details
| Company | Ephicacy |
| Location | Kakinada, India |
| Type | FULL TIME |
| Niche | general |
| Experience | permanent |