R Programmer (Clinical SAS) – Remote

???? Location: Anywhere in India (Remote)
???? Salary: ₹6,00,000 - ₹18,00,000 per year
???? Job Type: Full-time, Permanent
???? Shift: Day Shift (Monday to Friday)
???? Experience Required: Minimum 3 years in programming, 1 year in clinical trial data analysis

Job Overview:

We are seeking a highly skilled R Programmer with Clinical SAS expertise to support clinical trial data analysis, reporting, and regulatory submissions. The ideal candidate will have strong R programming skills for clinical trial data analysis, along with proficiency in SAS programming for CDISC-compliant datasets, Tables, Listings, and Figures (TLFs).

Key Responsibilities:

✅ Develop, validate, and maintain R scripts and SAS programs for clinical trial data analysis and reporting.
✅ Work with CDISC standards (SDTM, ADaM) to generate regulatory submission datasets.
✅ Create statistical analysis reports, TLFs, and ad-hoc analyses using R and SAS.
✅ Collaborate with biostatisticians, data managers, and clinical teams to ensure data integrity and accuracy.
✅ Automate data analysis workflows and optimize existing R/SAS programs for efficiency.
✅ Support regulatory submissions and responses to health authorities (e.g., FDA, EMA).
✅ Perform quality control (QC) checks and debugging of R and SAS programs.
✅ Document programming activities following GCP and SOPs to ensure compliance.

Required Qualifications & Skills:

✔ Bachelor's or Master's Degree in Statistics, Biostatistics, Computer Science, or a related field.
✔ 5+ years of experience in clinical trial data analysis using R and SAS.
✔ Strong knowledge of CDISC (SDTM, ADaM) standards and regulatory requirements.
✔ Experience in generating Tables, Listings, and Figures (TLFs) for clinical studies.
✔ Proficiency in R Markdown, Shiny, ggplot2, tidyverse, and other R-based visualization tools.
✔ Hands-on experience with SAS macros, PROC SQL, and statistical procedures.
✔ Familiarity with clinical trial design, ICH-GCP guidelines, and regulatory submission processes.
✔ Strong problem-solving and debugging skills.