Job Description
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.
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)
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Senior