Principal Data Scientist Consultant – R Programmer

🕒 May 19

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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ClinChoice

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1998

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

ClinChoice is a global full-service contract research organization (CRO) established in 1995, specializing in clinical development, post-marketing, and functional service support for the pharmaceutical, biotechnology, and medical devices industries. They provide comprehensive solutions from early clinical development to post-approval lifecycle management, with expertise in a variety of therapeutic areas such as autoimmune and inflammation, dermatology, endocrinology, infectious diseases, neuroscience, and oncology. ClinChoice aims to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. The company supports its clients with clinical, regulatory, and operational expertise across all phases of product development.

📋 Description

• Develop, validate, and maintain SDTM and ADaM datasets in R — using admiral and the broader pharmaverse — following CDISC standards. • Generate Tables, Listings, and Figures (TLFs) in R or SAS as required by study needs. • Perform Pinnacle21 validation, resolve findings, and refine specifications to ensure CDISC compliance and submission readiness. • Write efficient, reproducible, well-structured R code for clinical data analysis and reporting. • Contribute to open-source and internal tooling — including R Shiny / teal modules, R packages, SAS macros, and Python utilities — used by clinical programming, data management, and biostatistics teams. • Partner with statisticians, data managers, and clinical teams to translate programming requirements into reliable deliverables. • Perform QC, reconcile data issues, and ensure outputs meet regulatory expectations (e.g., FDA, EMA). • Support automation, pipeline development, and version-controlled workflows. • Use SAS for legacy studies or where SAS support is needed.

🎯 Requirements

• 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. • Solid understanding of CDISC standards (SDTM, ADaM) and metadata-driven programming. • Experience with clinical trial data, regulatory submissions, and QC processes. • Strong analytical, problem-solving, and documentation skills.

🏖️ Benefits

• Professional development opportunities • Remote work options