Senior Associate, Health Economics and Outcome Research
Core
Lead and execute observational database analytics and evidence synthesis studies with minimal supervision, providing scientific and methodological consultation to clients and internal teams.
Role type
Senior Associate, Health Economics and Outcomes Research (HEOR)
Builds
Real-world evidence (RWE) studies and analyses
Domain
Healthcare / Health Economics / Real-World Evidence
Required skills
SAS programming, SQL, R, Python, observational study design, statistical analysis, protocol development, data source identification, quality control, project management
Preferred skills
Machine learning, hypothesis testing, regression analysis, regression modeling
Technologies
SAS, SQL, R, Python, Microsoft Office Suite
Responsibilities
Provide consultation and recommendations on study objectives, design, methodology, and statistical analysis; Lead and execute RWE studies using claim, EMR, and registry data; Generate high-quality deliverables including data tables, graphs, and study reports; Design mock table shells and ensure quality control on junior associates' work; Manage and track study timelines and stakeholder communication; Communicate research findings to internal and external stakeholders.
Seniority
Senior, hands-on IC