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IQVIA

Senior Biostatistician, RWE

IQVIA

. Lead statistical activities for real-world evidence and clinical research projects .

Posted 11/9/2026full-timeLisbon • PortugalSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading statistical activities for clinical research and real-world evidence studies, with a strong foundation in statistical methodologies, SAS and/or R programming, and effective client communication. Capable of mentoring junior staff and ensuring high-quality statistical analyses and reporting.

Highest-signal resume keywords
MSc/PhD In StatisticsStatistical Methodology ExpertiseSAS ProgrammingClient-Facing Communication SkillsStatistical Analysis Plan Development

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Statistical AnalysisProtocol ReviewStatistical ReportingData InterpretationStatistical Leadership
Soft Skills
MentoringCross-Functional Team Leadership
Industry Keywords
Real-World Evidence StudiesObservational ResearchCausal Inference MethodsSecondary Healthcare Databases

About the role

Key responsibilities & impact
  • Lead statistical activities for real-world evidence and clinical research projects
  • Review protocols and develop Statistical Analysis Plans (SAPs)
  • Define statistical methodology and oversee analyses
  • Interpret study results
  • Provide statistical leadership to cross-functional teams
  • Review key deliverables, including datasets, TLFs, and reports
  • Support client interactions
  • Contribute to proposals and bid defenses
  • Mentor junior statistical staff
  • Ensure high-quality, timely, and compliant delivery of statistical analyses and study reporting

Requirements

What you’ll need
  • MSc/PhD in Statistics, Biostatistics, or related quantitative field
  • Significant experience leading statistical activities for clinical and/or RWE studies
  • Strong knowledge of statistical methodologies and SAS and/or R programming
  • Experience with protocol review, SAP development, TLF specifications, and statistical reporting
  • Strong client-facing and communication skills
  • Preferred: Experience in real-world evidence studies, observational research, causal inference methods, and working with secondary healthcare databases

Benefits

Comp & perks
  • Diversity, inclusion, and belonging culture
  • Opportunity to work with talented employees worldwide
  • Mentorship opportunities for junior statistical staff