Job Title
Statistical Programmer – RBQM Programming
Location: Bangalore
Employment Type: Full-Time
Application Deadline: May 31, 2026
Job Requisition ID: 261997
Job Overview
This role focuses on Risk-Based Quality Management (RBQM) programming using R programming language to support clinical trial data analysis and monitoring.
You will develop analytical programs, perform quality checks, and contribute to improving clinical trial data quality and reporting systems.
The role involves close collaboration with cross-functional clinical and statistical teams.
Key Responsibilities
1. R Programming & RBQM Support
Develop and maintain R programs for RBQM in clinical trials
Support risk-based quality monitoring of clinical trial data
Implement project-specific programming solutions
2. Data Analysis & Reporting
Support clinical trial data analysis and reporting tasks
Develop data visualization outputs using R
Apply statistical programming techniques for clinical insights
3. Cross-Functional Collaboration
Work with cross-functional teams to understand data requirements
Translate clinical and statistical needs into programming solutions
Support study-specific programming deliverables
4. Quality Control & Validation
Perform QC (Quality Control) on programming outputs
Validate datasets and outputs for accuracy and consistency
Ensure compliance with internal programming standards
5. Process Improvement
Contribute to development of programming standards
Improve efficiency of RBQM programming processes
Support automation and optimization initiatives using R
Required Qualifications
Bachelor’s degree in:
Statistics
Mathematics
Computer Science
Data Science
Or related quantitative field
Experience Required
Minimum 3 years of experience in R programming
Experience working with clinical trial data
Familiarity with R packages such as:
Tidyverse
ggplot2
survival
Key Skills Required
Strong R programming expertise
Knowledge of data visualization techniques
Strong analytical and problem-solving skills
Ability to work with clinical trial datasets
Good communication and teamwork abilities
Preferred / Desirable Skills
Knowledge of industry R packages such as:
ADMIRAL
OAK
Experience with:
SAS programming
CRAN ecosystem
POSIT tools and open-source repositories
Familiarity with clinical data standards and statistical workflows
Work Environment
Full-time role based in Bangalore
Collaborative, cross-functional clinical research environment
Data-driven and quality-focused programming work
Exposure to global clinical trial datasets and methodologies
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