Software Engineer
Senior Real‑World Evidence Analyst Programmer responsible for designing, developing, and validating RWE/RWA solutions using SAS, SQL, Python, and R to support clinical trials and regulatory submissions.
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 andvalidateReal-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 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 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 knowledgeregardingprogram, epidemiology methodologies implementation and system development life cycle concepts.
Maintain clear documentation of analytical programming and operational definitions to support repro
Posted June 21, 2026