Brief Description
- Conduct analyses for Real-World Evidence (RWE) studies and analytic projects using diverse Real-World Data (RWD) sources (administrative claims, electronic medical records (EMR), and registry data), ensuring timely completion and scientific rigor of research outputs.
Responsibilities
- Conduct and audit RWE analyses using a variety of RWD from multiple sources
- Collaborate with the RWA lead and team members to meet study and recurring report timelines
- Apply advanced statistical and epidemiological methodologies to produce robust results
- Clean and validate RWD and outputs for consistency and reliability
- Maintain documentation of analytical programming codes and operational definitions for reproducible, auditable work
- Develop reports, presentations, and dashboards to communicate complex data insights
- Support design and enforcement of RWA standards to improve operational efficiency and accuracy
- Stay current with evolving RWA methodologies, data visualization technologies, and industry best practices
Qualifications / Required Skills
- 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 experience with Flatiron and Optum data (minimum 2 years)
- Expert proficiency in SQL and R; Python knowledge is an advantage
- Familiarity with US/global healthcare coding systems (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 platforms (e.g., Snowflake); PowerBI knowledge is an advantage
Education
- MS or PhD in data science, epidemiology, statistics, public health, or related discipline