Data Analyst II, RWE

Role Overview

• Contribute to the design of RWE studies, including protocol development, statistical analysis plans (SAPs), and other key study documents with moderate supervision.
• Apply working knowledge of real-world data sources (e.g., claims, EMR/EHR, registries, omics data, wearable data, PROs) to inform study design, feasibility assessments, and methodological decisions.
• Strong fluency in at least one of SAS or R is mandatory.
• Perform statistical analyses using SAS, R, Python, SQL, and other appropriate tools, ensuring data quality, reproducibility, traceability, and methodological rigor.
• Develop operational definitions, code lists, and analytical specifications aligned with study objectives and industry standards.
• Prepare high-quality tables, figures, and listings (TFLs) and contribute to study reports, manuscripts, and client deliverables with clear interpretation of findings and articulation of limitations.
• Support client-facing support, including presenting planning and project updates, explaining methodologies, addressing technical questions, and contributing to strategic discussions.
• Demonstrate a consulting-oriented approach by identifying risks, proposing solutions, and adapting to evolving client needs.
• Support management of assigned programming timelines and analytical workstreams across multiple concurrent projects; communicate progress, risks, and mitigation strategies effectively to internal and external stakeholders.
• Support proposal development, desk research, and exploratory analyses as needed.

Requirements

• Master’s degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Health Economics, Bioinformatics, Computer Science, or a related quantitative discipline, or equivalent combination of education and experience.
• Minimum of 2 years of project-based experience conducting RWE research using secondary healthcare data sources (e.g., claims, EMR/EHR, registries, hospital databases, lab/genomic data, wearable data, PROs).
• 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, with experience preparing and presenting to stakeholders.
• Proven ability to manage multiple priorities, work collaboratively, and deliver high-quality outputs under tight timelines.
• Demonstrated consulting mindset with the ability to translate analytical results into clear insights and practical recommendations.

Tech Stack

• Python
• SQL

Benefits

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to building an inclusive culture – where you can authentically be yourself.