Healthcare Research & Data Analyst

• Analyze and interpret real-world healthcare data to support RWE studies
• Apply statistical and advanced analytics to identify trends and actionable insights
• Build and optimize SQL queries to extract, clean, and validate large datasets
• Use Python (and/or R) for data analysis, automation, and modeling
• Partner with product, research, and operations teams to address customer business challenges
• Manage and curate analytical datasets for market and commercial modeling
• Ensure high standards of data quality, documentation, and reproducibility
• Communicate insights clearly to technical and non-technical stakeholders
• Contribute ideas that help shape product, data, and analytics strategy

• 5+ years of experience in Healthcare or Life Sciences analytics
• Hands-on experience with Real-World Evidence (RWE) and healthcare data such as claims, EHR, or secondary datasets
• Strong expertise in handling large, complex datasets in healthcare
• Advanced skills in SQL and Python (pandas, NumPy, statistical libraries); Excel proficiency
• Solid foundation in statistical modeling and advanced analytics (forecasting, clustering, market mix modeling)
• Proven ability to drive analytical outcomes through strategic data integration and leadership across large-scale data processing, * Volunteering time with paid hours

In this role, you will analyze real-world healthcare data to support RWE studies and evidence generation, collaborating with leading MedTech organizations. You'll work within a global analytics team to translate data into actionable insights that drive product and strategy. You will tackle large, complex datasets, develop models, and contribute to data integration initiatives that impact patient and payer analytics. This is a hands-on position with meaningful cross-functional impact and a clear link to real-world healthcare outcomes.