Senior Programmer - R

Ephicacy; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Ephicacy is seeking a clinical programming professional experienced in R to develop and transform clinical datasets and deliver TLFs. The role emphasizes modular, reusable R code and strong collaboration with Biostatistics, Data Management, and other cross-functional teams.

Candidates should be comfortable reviewing SAS-based outputs, adhering to CDISC SDTM/ADaM standards, and maintaining thorough documentation and validation throughout project timelines.

Responsibilities

• Develop, transform, and program clinical datasets using R.

Skills

R programming

TLFs (Tables Listings Figures)

R packages

SAS programming

CDISC SDTM/ADaM

Git & GitHub

code quality & documentation

cross-functional collaboration

Tools

SAS

Git

GitHub

CDISC tooling

Job description

• Extensive experience developing, transforming, and programming clinical datasets using R, with strong understanding of data structures, derivations, and programming logic.
• Proven experience programming Tables, Listings, and Figures (TLFs) using R, ensuring accuracy, consistency, and reproducibility of outputs.
• Strong experience working with R packages and libraries commonly used for clinical programming, data manipulation, analysis, and reporting.
• Experience developing reusable, modular, and efficient R code to support standardized and automated clinical programming workflows.
• Working knowledge of SAS programming, with the ability to understand, review, and work with SAS-based clinical programming outputs and processes.
• Strong understanding of CDISC standards, including SDTM and Adam, and their application within clinical programming workflows is preferred.
• Hands-on experience with Git and GitHub for source-code management, including version control, branching, code reviews, pull requests, and collaborative development.
• Strong focus on code quality, validation, traceability, reproducibility, and documentation of R programming deliverables.
• Ability to independently troubleshoot programming issues, perform quality checks, and deliver high-quality datasets and TLFs within project timelines.
• Collaborate closely with Biostatistics, Statistical Programming, Data Management, and other cross-functional teams to support clinical study deliverables.