R programmer

Must be primarily an R programmer- not a SAS programmer with R as secondary.

Must have only/primarily directly supported biotech/pharma companies.. not CROs, govt, academia, etc. Must have Oncology

Job Description 

Summary
Clinical statistical programmer with hands-on SDTM, ADaM, and TLF production and validation experience in R using pharmaverse packages, supporting an end-to-end R workflow alongside existing SAS code.

Responsibilities

• Develop SDTM datasets from raw EDC data in R (sdtm.oak)
• Develop and validate ADaM datasets in R (admiral)
• Produce TLFs in R (rtables/tern) and submission-ready datasets (xportr) for clinical study reports and regulatory submissions
• Perform independent QC/double programming of SAS and R outputs
• Collaborate with biostatisticians and study teams on SAPs, specs, and timelines

Requirements

• BS/MS in Statistics, Biostatistics, Mathematics, or related field
• 5+ years of clinical statistical programming with CDISC SDTM and/or ADaM
• 2+ years producing clinical outputs in R using pharmaverse, including admiral for ADaM and rtables/tern (or similar TLF packages like gtsummary or Tplyr)
• R outputs produced for actual study deliverables (e.g., CSR, DSMB, or interim analyses)
• Strong R programming skills, including tidyverse, RMarkdown/Quarto, and Git/GitHub
• SAS experience, to work alongside existing SAS code

Preferred Qualifications

• sdtm.oak and xportr experience
• R outputs used in a regulatory submission

Nice to Have

• Shiny app development, including user access control (e.g., rAccess, shinymanager, Posit Connect)