Senior RWE/RWA Programmer

Role Description

The Senior Real-World Analyst (RWA) will be responsible for conducting analyses for Real-World Evidence (RWE) studies utilizing administrative claims, electronic medical records (EMR), and registry data. The successful candidate will possess a deep understanding about the use of Real-World Data (RWD), exceptional programming and analytical skills and a proven track record in delivering high-quality RWE analytic projects. The candidate will also ensure the timeliness and delivery of scientifically valid research.

• Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting objectives of the project.
• Clean and validate RWD for consistency and reliability.
• Implement programming as specified from RWE protocol using a variety of RWD from multiple sources, including Optum and Flatiron.
• Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses.
• Create or review and approve programming plans at study and project level.
• Displays highly advanced knowledge regarding program, epidemiology methodologies implementation and system development life cycle concepts.
• Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies.
• Develop dashboards, reports, and presentations to communicate findings.
• Work collaboratively with members of study teams to meet study and recurring report timelines.

Qualifications

• MS in data science, epidemiology, statistics, public health or related discipline.
• At least 7 years of RWD analysis experience using healthcare claims/EMR/registry databases within the biopharmaceutical industry or provider/payer organizations.
• Fluency in programming software SQL and R is required. Knowledge of SAS and/or Python would be considered an advantage.
• Familiarity with US and global health care coding system (e.g. ICD, CPT, HCPCS, LOINC, MedDRA) and delivery system (e.g. payers and reimbursement models).
• Experience conducting routine and advanced statistical analyses for RWE generation, leveraging time-to-event, cross-sectional, and longitudinal data.
• Experience with big data analytical platforms.
• Deep understanding of observational study analysis.
• Able to work in a fast-paced, flexible, team-oriented environment.