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Warman O'Brien
Warman O'Brien

Clinical R Programmer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Data
Python
Automation
+11

Contract role
17 days ago
Apply now

Principal Clinical Data Scientist / R Programmer

Remote | Global CRO | Single-Sponsor Model

We are looking for a Principal Clinical Data Scientist / Clinical R Programmer to join a scientific computing and clinical programming team supporting modern, reproducible clinical trial workflows.

This is a hands-on role for someone who enjoys building high-quality clinical deliverables while also contributing to the tools, packages, and systems used by wider biometrics, data management, and programming teams.

This is an opportunity to combine technical leadership, clinical programming, and modern open-source tooling in a role that has real impact across clinical development.

What you’ll be doing

You will develop and validate SDTM and ADaM datasets in R, using admiral and the broader pharmaverse, while supporting CDISC-compliant submission work. You will also produce TLFs in R or SAS, perform Pinnacle21 validation, resolve findings, and contribute to reusable tools such as R packages, Shiny or teal modules, SAS macros, and Python utilities.

You will work closely with statisticians, data managers, and clinical teams to turn study requirements into robust, reproducible deliverables, while supporting automation, QC, version-controlled workflows, and regulatory-ready outputs.

What we’re looking for

  • Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field.
  • 5+ years in clinical programming, with a strong focus on R.
  • Proven experience producing SDTM and ADaM datasets in R, including hands-on use of admiral.
  • Experience with Pinnacle21 validation and remediation.
  • Working knowledge of SAS programming.
  • Working knowledge of Python for analytics, scripting, or tooling

Preferred Qualifications

  • Broader pharmaverse experience (e.g., tidyCDISC, rtables) and tidyverse fluency.
  • Experience building or contributing to R Shiny apps, teal modules, or R packages used by other teams.
  • Exposure to AI/ML tooling in a clinical or programming context.
  • Real-World Evidence (RWE) experience — e.g., mapping Flatiron or claims/EHR data into CDISC-aligned structures.

What to do next…

Apply direct or share a copy of your resume to brook@warmanobrien.com

About Warman O'Brien

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