Role Summary
Support HEOR and RWE analytics teams in real-world evidence generation and statistical analysis
Work on retrospective database studies and healthcare analytics projects
Key Responsibilities
Extract, clean, manipulate, and analyze healthcare data using SAS and R
Analyze large US claims and EU EMR databases (CPRD, SNDS, etc.)
Support design and execution of retrospective observational studies
Apply regression, propensity scoring, and sensitivity analysis methods
Create analytical tables, figures, and summaries for reports and manuscripts
Support RWE reports, manuscripts, and presentations
Translate analytical results into actionable insights for stakeholders
Ensure timely delivery of project milestones
Contribute to internal analytics process improvements
Required Qualifications
Master’s degree or higher in Biostatistics, Data Science, Epidemiology, Health Economics, or related field
2–3 years of HEOR/RWE analytics experience (consulting or pharma preferred)
Proficiency in SAS and R
Experience with US claims and EU EMR databases
Strong communication and teamwork skills
Preferred Skills
Hands-on experience in RWE database analysis and statistical modeling
Why Syneos Health
Global CRO exposure
Collaborative and inclusive culture
Career growth in real-world evidence and analytics
Unlock refined AI insights.