Senior Principal Real World Analyst (RWA)-2
Jazz Pharmaceuticals
August 11, 2026
Remote friendly (Philadelphia, PA)
United States
Market Access
Brief Description
- The Senior Principal Real-World Analyst (RWA) conducts analyses for Real-World Evidence (RWE) studies and analytic projects using Real-World Data (RWD) sources including administrative claims, EMR, and registry data.
Responsibilities
- Conduct and audit RWE analyses using diverse RWD sources.
- Collaborate with the RWA lead and team to meet study and recurring report timelines.
- Apply advanced statistical and epidemiological methodologies to deliver robust, reliable results.
- Clean and validate RWD and outputs for consistency and reliability.
- Maintain clear documentation of analytical code and operational definitions for reproducible, auditable studies.
- Develop reports, presentations, and dashboards to communicate complex insights.
- Support designing and enforcing RWA standards to improve operational efficiency and accuracy.
- Stay current with evolving RWA methodologies, data visualization technologies, and industry best practices.
Required Qualifications
- MS or PhD in data science, epidemiology, statistics, public health, or related discipline.
- Relevant experience: 4+ years (MS) or 2+ years (PhD) in biopharma, RWE consulting, or relevant healthcare industries.
- Hands-on expertise with Flatiron and Optum data (minimum 2 years).
- Proficiency in SQL and R; Python is advantageous.
- Familiarity with US/global healthcare coding systems (e.g., ICD, CPT, HCPCS, LOINC, MedDRA) and delivery/reimbursement models.
- Experience with routine and advanced RWE statistical analyses (time-to-event, cross-sectional, longitudinal).
- Big data analytics platform experience (e.g., Snowflake); PowerBI is advantageous.
- Highly motivated, executionally rigorous, and able to work in a fast-paced, team-oriented environment.
- The Senior Principal Real-World Analyst (RWA) conducts analyses for Real-World Evidence (RWE) studies and analytic projects using Real-World Data (RWD) sources including administrative claims, EMR, and registry data.
Responsibilities
- Conduct and audit RWE analyses using diverse RWD sources.
- Collaborate with the RWA lead and team to meet study and recurring report timelines.
- Apply advanced statistical and epidemiological methodologies to deliver robust, reliable results.
- Clean and validate RWD and outputs for consistency and reliability.
- Maintain clear documentation of analytical code and operational definitions for reproducible, auditable studies.
- Develop reports, presentations, and dashboards to communicate complex insights.
- Support designing and enforcing RWA standards to improve operational efficiency and accuracy.
- Stay current with evolving RWA methodologies, data visualization technologies, and industry best practices.
Required Qualifications
- MS or PhD in data science, epidemiology, statistics, public health, or related discipline.
- Relevant experience: 4+ years (MS) or 2+ years (PhD) in biopharma, RWE consulting, or relevant healthcare industries.
- Hands-on expertise with Flatiron and Optum data (minimum 2 years).
- Proficiency in SQL and R; Python is advantageous.
- Familiarity with US/global healthcare coding systems (e.g., ICD, CPT, HCPCS, LOINC, MedDRA) and delivery/reimbursement models.
- Experience with routine and advanced RWE statistical analyses (time-to-event, cross-sectional, longitudinal).
- Big data analytics platform experience (e.g., Snowflake); PowerBI is advantageous.
- Highly motivated, executionally rigorous, and able to work in a fast-paced, team-oriented environment.