Senior RWE & HTA Statistician - Medical Affairs Lead

Cytel; Denver (CO); On-site; USD 120,000 - 190,000; Full time

Job summary

Cytel is seeking a Medical Affairs & HTA Statistician to provide strategic and technical statistical expertise across the product lifecycle, with emphasis on Medical Affairs, real-world evidence, comparative effectiveness, and Health Technology Assessment.

The role translates clinical and observational data into scientifically robust evidence for patients, clinicians, payers, and health systems, requiring strong statistical methodology, scientific judgement, and effective cross-functional

Qualifications

• Senior-level statistical/biostatistical experience in pharma or healthcare.
• Experience delivering Medical Affairs/HTA statistical work packages.
• Broad methodological expertise across clinical, observational, and real-world data.

Responsibilities

• Provide statistical leadership for MA and HTA evidence-generation activities.
• Support evidence strategies addressing clinical, payer, and healthcare-system questions.
• Design and analyse observational and real-world evidence studies.
• Apply epidemiological and statistical methods to real-world and clinical data.
• Conduct indirect treatment comparisons and comparative-effectiveness assessments.
• Support post-approval evidence-generation activities including synthetic controls and Phase IV.
• Apply HTA/HEOR methodologies to evidence packages for access and reimbursement.
• Assess data quality, uncertainty, and methodological credibility in HTA submissions.

Skills

Statistical leadership

Biostatistics

Publications & scientific comms

Cross-functional collaboration

HTA/HEOR knowledge

RWE/Real-world data

Phase IV studies

Epidemiology

Tools

R

SAS

Job description

Cytel is seeking a Medical Affairs & HTA Statistician to provide strategic and technical statistical expertise across the product lifecycle, with emphasis on Medical Affairs, real-world evidence, comparative effectiveness, and Health Technology Assessment.

The role translates clinical and observational data into scientifically robust evidence for patients, clinicians, payers, and health systems, requiring strong statistical methodology, scientific judgement, and effective cross-functional