R Coding for CDISC Standards
Budget: ₹1,500 – ₹12,500 INR
The assignment is entirely programming-focused. I already have clinical study data that must be reshaped, validated, and exported in full compliance with CDISC conventions, and the existing R scripts only cover part of the workflow. Your role is to expand and refine that code so every dataset produced can be handed straight to a regulatory reviewer without rework.
You will be writing fresh functions where gaps exist, tidying up what is already there, and making sure variable names, labels, formats, and metadata match the relevant CDISC structures (SDTM, ADaM, or SEND—whichever you prefer so long as the final output passes compliance checks). Tidyverse or data.table is fine; staying within base R is fine too, as long as the code is reproducible and easily audited.
Deliverables
• Clean, well-commented R scripts that run end-to-end on my sample data
• A concise read-me explaining package dependencies, execution order, and any configuration steps
• Evidence the output conforms to CDISC rules (log messages, validator report, or similar)
We will work iteratively: you push a feature branch or script update, I test on my side, and we repeat until the pipeline is complete. Please share a brief note on similar R projects you have done with CDISC or other regulated data standards so I can see your fit.
You will be writing fresh functions where gaps exist, tidying up what is already there, and making sure variable names, labels, formats, and metadata match the relevant CDISC structures (SDTM, ADaM, or SEND—whichever you prefer so long as the final output passes compliance checks). Tidyverse or data.table is fine; staying within base R is fine too, as long as the code is reproducible and easily audited.
Deliverables
• Clean, well-commented R scripts that run end-to-end on my sample data
• A concise read-me explaining package dependencies, execution order, and any configuration steps
• Evidence the output conforms to CDISC rules (log messages, validator report, or similar)
We will work iteratively: you push a feature branch or script update, I test on my side, and we repeat until the pipeline is complete. Please share a brief note on similar R projects you have done with CDISC or other regulated data standards so I can see your fit.