[Hiring] Senior Data Analyst I/II, Data Analytics, Real World Evidence (RWE) @Syneos Health

Role Description

As a Sr Data Analyst I/II in Data Analytics, Real World Evidence (RWE), you will contribute to the design of RWE studies and apply your expertise in statistical analysis and real-world data sources.

• Contribute to the design of RWE studies, including protocol development and leading statistical analysis plans (SAPs) with minimal supervision.
• Apply comprehensive knowledge of real-world data sources (e.g., claims, EMR/EHR, registries, omics data, wearable data, PROs) to inform study design and feasibility assessments.
• Perform advanced statistical analyses using SAS, R, Python, SQL, and/or other appropriate tools.
• Develop operational definitions, code lists, and analytical specifications aligned with study objectives.
• Prepare high-quality tables, figures, and listings (TFLs) and contribute to study reports and client deliverables.
• Provide client-facing support, including presenting planning and project updates and addressing technical questions.
• Demonstrate a consulting-oriented approach by identifying risks and proposing solutions.
• Manage programming timelines and analytical workstreams across multiple projects.
• Occasionally support proposal development, desk research, and exploratory analyses as needed.

Qualifications

• Master’s degree or higher in Biostatistics, Statistics, Epidemiology, Public Health, Health Economics, Bioinformatics, Computer Science, or a related quantitative discipline.
• 5 years (minimum of 3 years) of project-based experience conducting RWE research using secondary healthcare data sources.
• 5 years (minimum of 2 years in a consulting setting) of hands-on statistical programming experience.
• Strong understanding of RWE methodologies, observational study designs, and data governance considerations.
• Excellent written and verbal communication skills in English, with client-facing experience.
• Proven ability to manage multiple priorities and deliver high-quality outputs under tight timelines.
• Demonstrated consulting mindset with the ability to translate analytical results into strategic insights.

Requirements

• Strong fluency in at least one of SAS or R is mandatory.

Benefits

• Passionate about developing our people through career development and progression.
• Committed to building an inclusive culture where you can authentically be yourself.
• Continuous improvement of the company to shape the future of healthcare.