← All Jobs
Posted Jun 23, 2026

Senior RWE/RWA Programmer

Apply Now
When our values align, there's no limit to what we can achieve.   At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.   Parexel is seeking a Senior Real-World Evidence (RWE) 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.  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, 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    What You Will Do  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    Who You Are  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. EEO Disclaimer 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.