Senior RWE​/RWA Programmer

Senior Real-World Evidence Analyst 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.

• Effectively design and code R and SQL programs for assigned project(s), consistently meeting project objectives

• Expert Coder
  : spend most time hands‑on coding, hands‑on experience with raw RWE data including claims and Flatiron EHR, write SQL code from scratch

• 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, epidemiological methodology 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 effectively communicate findings

• Collaborate with study team members to meet study timelines and recurring reporting deadlines

• Work independently and contribute to scrum development goals in a fast‑paced, flexible, team‑oriented environment

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

• At least 2–3 years of experience in Real‑World Data analysis and Real‑World Analytics using healthcare claims, EMR, 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 required

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

• Knowledge of SAS and/or Python considered an advantage

• Familiarity with US and global healthcare coding systems (ICD, CPT, HCPCS, LOINC, MedDRA) and healthcare delivery systems (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

• Strong communication and collaboration skills, and competent in written and oral English

Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.