Principal Data Scientist Consultant, R, CDISC

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🇺🇸 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 using R following CDISC standards. • Support TLF (Tables, Listings, Figures) generation in R or SAS as needed. • Write efficient, reproducible, and well-structured R scripts for clinical data analysis and reporting. • Collaborate with statisticians, data managers, and clinical teams to understand programming requirements. • Perform QC checks, reconcile data issues, and ensure deliverables meet regulatory expectations (e.g., FDA, EMA). • Contribute to programming workflows, documentation, and version control best practices. • Support automation initiatives and R-based pipeline development. • Utilize SAS for legacy studies or where SAS support is required.

🎯 Requirements

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field. • 4–6+ years of experience in clinical programming, with a strong focus on R. • Proven experience in creating SDTM and ADaM datasets using R. • Working knowledge of SAS programming. • Solid understanding of CDISC standards (SDTM, ADaM). • Experience with clinical trial data, regulatory submissions, and QC processes. • Strong analytical, problem-solving, and documentation skills.

🏖️ Benefits

• Health insurance • Professional development opportunities • Flexible work arrangements