Senior RWE Data Analyst & Programmer

syneoshealth; United States; Hybrid; USD 95,000 - 130,000; Full time

Job summary

Syneos Health is seeking a senior, individual-contributor on an RWE analytics team to design observational studies, lead analysis plans, and translate secondary healthcare data into decision-ready evidence.

The role blends hands-on statistical programming in SAS, R, Python, and SQL with client engagement, delivering tables, figures, and reports while guiding study feasibility and methodology.

Qualifications

• Master's degree or higher in Biostatistics, Epidemiology, or a related quantitative field.
• 3+ years of project-based RWE research using secondary healthcare data; 5 years preferred.
• 2+ years of hands-on statistical programming in a consulting environment; SAS or R mandatory.
• Strong written and verbal English communication with client-facing experience.

Responsibilities

• Design RWE studies, author SAP, and support documentation for descriptive or treatment-pattern work.
• Apply real-world data sources to guide feasibility and study methodology.
• Execute advanced analyses in SAS, R, Python, and SQL with reproducibility in mind.
• Produce tables, figures, listings, reports, and client-facing deliverables with narrative interpretation.
• Manage programming timelines across projects and assist with proposals and exploratory analyses.

Skills

Biostatistics

Observational study design

Client communication

Independent work

Education

Master's degree or higher in Biostatistics

Related quantitative discipline

Tools

SAS

R

Python

SQL

Job description

Syneos Health is seeking a senior, individual-contributor on an RWE analytics team to design observational studies, lead analysis plans, and translate secondary healthcare data into decision-ready evidence.

The role blends hands-on statistical programming in SAS, R, Python, and SQL with client engagement, delivering tables, figures, and reports while guiding study feasibility and methodology.