Senior RWE Programmer

Join a high-impact team as a remote Sr. Real-World Evidence Programmer, supporting innovative work. You can work remotely out of Canada or the Continental United States. If you are passionate about real-world data, advanced analytics, and delivering meaningful insights, we encourage you to apply.

About the Role

Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting project objectives. The ideal candidate spends most of their time hands-on coding (80%-90% of daily work) with minimal project management or oversight responsibilities.

Responsibilities

• Design and code R and SQL programs for assigned projects, ensuring consistency with project objectives
• Clean and validate Real-World Data (RWD) to ensure consistency and reliability
• Implement programming based on RWE protocols using a variety of RWD sources, including Optum and Flatiron
• Leverage advanced statistical and epidemiological methodologies to deliver robust and reliable analyses
• Create, review, and approve programming plans at both study and project levels
• Maintain clear documentation of analytical programming and operational definitions to support reproducible and auditable RWE studies
• Develop dashboards, reports, and presentations to effectively communicate findings
• Collaborate with study team members to meet study timelines and recurring reporting deadlines
• Perform raw data analysis, including running analyses and developing code for real-world analyses (5%-20% of daily work involves copying and pasting numbers into Excel table shells)

Requirements

• MS in data science, epidemiology, statistics, public health, or related discipline
• At least 2-3 years of experience in Real-World Data (RWD) analysis and Real-World Analytics (RWA) using healthcare claims, EMR, and/or registry databases within the biopharmaceutical industry or provider/payer organizations
• Hands-on experience with Flatiron data required; experience with Optum may be considered
• Fluency in SQL and R programming is required; knowledge of SAS and/or Python is an advantage
• Experience writing original code and performing raw data analysis (not derived solely from clinical trials)
• Advanced SQL programming experience within the Real-World Data (RWD) domain
• Hands-on experience developing and managing data solutions in the Snowflake platform
• Familiarity with US and global healthcare coding systems (e.g., ICD, CPT, HCPCS, LOINC, MedDRA) and healthcare delivery systems (e.g., payers and reimbursement models)
• Experience conducting routine and advanced statistical analyses for RWE generation, including time-to-event, cross-sectional, and longitudinal data
• Experience with big data analytical platforms and a deep understanding of observational study analysis

Skills

• Ability to work independently and contribute to scrum development goals in a fast-paced, flexible, team-oriented environment
• Strong communication and collaboration skills
• Competent in written and oral English