Senior RWE/RWA Programmer

Join a high-impact team as a remote Sr. Real-World Evidence Analyst Programmer ,

supporting innovative work across 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.

Who We Are Looking For

• Effectively designs and codes R and SQL programs for assigned project(s), consistently meeting 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

• Demonstrate advanced knowledge of programming, epidemiologicalmethodologyimplementation,and system development life cycle concepts

• Maintain clear documentation of analytical programming and operational definitionsto 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

What You Will Do

• Effectively designs and codes R and SQL programs for assigned project(s) consistently meetingobjectivesof 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

• MS in data science, epidemiology, statistics, public health, or related discipline

• At least 7 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

• Includes strong hands-on experience with Optum and/or Flatiron data

• Fluency in SQL and R programming is required

• Experience writing original code and performing raw data analysis (not derived solely from clinical trials)

• Includes running analyses and/or developing code for real-world analyses

• Knowledge of SAS and/or Python is considered an advantage

• 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

• Deep understanding of observational study analysis

• 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.