Senior Data Scientist Consultant

ClinChoice

1d

About The Position

ClinChoice is seeking a Senior Data Scientist Consultant to join one of their clients. This role involves working directly for a single sponsor while benefiting from the security and career opportunities of a global CRO. The ideal candidate will have strong experience in R and clinical programming, including developing SDTM and ADAM datasets using R, with working knowledge of SAS. The role requires supporting clinical trial deliverables, ensuring regulatory compliance, and collaborating with biostatistics and clinical data teams.

Requirements

• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or related field.
• 2-3+ 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.

Nice To Haves

• Experience with R packages such as tidyverse, haven, pharmaverse (e.g., admiral, tidyCDISC), or other clinical programming toolkits.
• Understanding of R Markdown, Shiny apps, or reproducible reporting tools.
• Exposure to GxP validation, version control (Git), and automated workflows.
• Experience working in a CRO or pharmaceutical environment.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior