Principal Data Scientist Consultant- R programmer (Remote)

Responsibilities

• 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.
• Required Qualifications
• 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.

Requirements

• 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.
• R Markdown, Quarto, or other reproducible reporting workflows.
• GxP validation, Git-based version control, and CI/CD or automated workflows.
• CRO or pharmaceutical industry experience.
• The Application Process
• Who will you be working for?
• About ClinChoice
• Our Company Ethos
• ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity an

Benefits

Additional Information

Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it's the best of both worlds... ClinChoice is searching for a Principal Clinical Data Scientist Consultant - R Programmer to join one of our clients. We are seeking a Clinical R programmer / Principal Clinical Data Scientist to join our Scientific Computing Technology group, which builds the open-source tools, R packages, SAS macros, and computing systems that power clinical programming, data management, and biostatistics across the organization. Reporting to the Director of Statistical Programming, this role blends hands-on clinical deliverables with contributions to the open-source and internal tooling that supports the wider clinical technical community. The ideal candidate has strong R skills, deep clinical programming experience, working Python familiarity, and an interest in modern, reproducible workflows. This position is open to remote candidates.

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