Senior Oncology Statistician Consultant (Remote)

ClinChoice; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

ClinChoice is seeking a Senior/Principal Statistician Consultant to provide statistical expertise for oncology trials from a remote location in the United States. The role emphasizes collaboration with study teams, across CRO functions, and ensuring accuracy and reproducibility of deliverables.

Ideal candidates will have oncology trial experience, CDISC SDTM/ADaM expertise, and strong programming skills in SAS or R, with availability during U.S. business hours.

Qualifications

• PhD or equivalent in statistics with at least 3 years of relevant work experience; or Master's with at least 6 years of relevant work experience.
• Experience supporting Phase 2/3 oncology trials, including event-driven and response-based endpoints.
• Solid knowledge of CDISC standards (SDTM/ADaM).
• Proficiency with SAS and/or R for statistical programming and data processing.

Responsibilities

• Support statistical analyses of oncology endpoints, including time-to-event and response-based endpoints.
• Perform event projections to estimate timing of planned event-driven analyses.
• Review and provide feedback on SDTM and ADaM specifications, tables, listings, figures, SAPs, and related study documents.
• Conduct routine study data review to identify inconsistencies, missing data, or issues affecting analysis.
• Validate statistical outputs and document reproducibility and quality control.

Skills

Oncology trials experience

CDISC SDTM/ADaM knowledge

Strong written communication

Collaboration across study teams

Statistical methodology

Education

PhD or MSc in statistics/biostatistics

Tools

SAS

R

Job description

ClinChoice is seeking a Senior/Principal Statistician Consultant to provide statistical expertise for oncology trials from a remote location in the United States. The role emphasizes collaboration with study teams, across CRO functions, and ensuring accuracy and reproducibility of deliverables.

Ideal candidates will have oncology trial experience, CDISC SDTM/ADaM expertise, and strong programming skills in SAS or R, with availability during U.S. business hours.