Data Analyst II, RWE

Role Overview

Contribute to the design of RWE studies, apply working knowledge of real-world data sources, and perform statistical analyses using SAS, R, Python, SQL, and other appropriate tools.

What You Will Do

Design RWE studies, perform statistical analyses, develop operational definitions, code lists, and analytical specifications, and prepare high-quality tables, figures, and listings.

Why It Might Be a Fit

Strong fluency in at least one of SAS or R is mandatory, and a consulting-oriented approach is required to identify risks, propose solutions, and adapt to evolving client needs.

Requirements

• Master’s degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Health Economics, Bioinformatics, Computer Science, or a related quantitative discipline
• Minimum of 2 years of project-based experience conducting RWE research using secondary healthcare data sources
• Minimum of 2 years of hands-on statistical programming experience (e.g., SAS, R, Python, SQL) in a research or consulting setting
• Foundational understanding of RWE methodologies, observational study designs, bias and confounding control methods, and data governance considerations
• Excellent written and verbal communication skills in English
• Proven ability to manage multiple priorities, work collaboratively, and deliver high-quality outputs under tight timelines

Benefits

• Career development and progression
• Supportive and engaged line management
• Technical and therapeutic area training
• Peer recognition and total rewards program
• Inclusive culture
• Opportunities for growth and autonomy

Tagged as: Data Analysis