Senior Statistical Programmer in RWE Analytics

Cytel; Madison (WI); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Cytel is seeking a seasoned epidemiology data scientist to support real world data analyses and analytics strategies in Madison, WI. You will work with epidemiologists and statisticians to build datasets, code analyses, and prepare results for internal teams and clients.

The role requires 5+ years in RWE, strong SQL, and SAS or R proficiency, plus experience with large data sources like claims or EHR. Expect cross-functional cooperation and impact on regulatory and safety outputs.

Qualifications

• Master’s degree or PhD in related field and 5+ years of experience conducting real world evidence analytics for pharma, CRO, or academia.
• Strong proficiency in SQL; SAS or R required.
• Experience with RWE data sources like Optum, Truvada? (note: Truveta) and UK Biobank.

Responsibilities

• Prepare Real World data and advise on analytic strategies for epidemiology projects.
• Program and conduct statistical analyses, including data coding and creation of algorithms.
• Link datasets, build analytical databases, and generate tables/figures for reports and clients.
• Support Medical Affairs, Global Patient Safety, and Clinical Development with observational studies and background-rate analyses.
• Collaborate with epidemiologists to manage stakeholder relationships and prioritize multiple projects.
• Communicate clearly to ensure timely project delivery and problem solve complex technical issues.

Skills

SQL

SAS

R

Education

Master’s degree or PhD in epidemiology/biostatistics/ statistics/ bioinformatics/ economics

Tools

Clinical data sources (Optum/Truveta/UK Biobank)

Job description

Cytel is seeking a seasoned epidemiology data scientist to support real world data analyses and analytics strategies in Madison, WI. You will work with epidemiologists and statisticians to build datasets, code analyses, and prepare results for internal teams and clients.

The role requires 5+ years in RWE, strong SQL, and SAS or R proficiency, plus experience with large data sources like claims or EHR. Expect cross-functional cooperation and impact on regulatory and safety outputs.