Senior RWE Analytics Engineer

Cytel; Des Moines (IA); On-site; USD 120,000 - 150,000; Full time

Job summary

Cytel Inc. is seeking a senior epidemiology statistician to design and conduct real-world data analyses. You will collaborate with epidemiologists and statisticians to develop analytic plans, code data, and create datasets from large claims/EHR sources for observational studies.

You will apply regression, survival, and propensity methods, present findings to clients, and contribute to regulatory/safety documents and study reports. The role emphasizes cross-functional teamwork and timely delivery.

Qualifications

• Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of RWE analytics experience in pharma, CRO, or academia.
• Intermediate to expert SQL proficiency required; SAS or R proficiency required.
• Deep expertise analyzing RWE data sources such as Optum Clinformatics, Truveta, UK Biobank; experience with clinical trial/registry data.

Responsibilities

• Assist in development of study protocols and analysis plans using large RWD sources (claims and/or EHR).
• Liaise with data vendors to obtain data extracts for research studies.
• Create analytical databases to facilitate analyses; conduct analyses per study protocols.
• Produce tables/figures for discussions with investigators/clients and study reports.
• Present results internally and to clients; assist in study report preparation; potential supervisory duties.

Skills

SQL proficiency

SAS or R proficiency

RWE analytics

Project management

Communication

Stakeholder management

Education

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

Tools

SQL

SAS

R

Relational databases

Job description

Cytel Inc. is seeking a senior epidemiology statistician to design and conduct real-world data analyses. You will collaborate with epidemiologists and statisticians to develop analytic plans, code data, and create datasets from large claims/EHR sources for observational studies.

You will apply regression, survival, and propensity methods, present findings to clients, and contribute to regulatory/safety documents and study reports. The role emphasizes cross-functional teamwork and timely delivery.