I contribute to clinical research with expertise and empathy. And I do it
Senior RWE/RWA Programmer
Primary Location: United States, Remote Additional Locations: Canada, Alberta, Remote; Canada, British Columbia, Remote; Canada, Manitoba, Remote; Canada, New Brunswick, Remote; Canada, Newfoundland and Labrador, Remote; Canada, Northwest Territories, Remote; Canada, Nova Scotia, Remote; Canada, Nunavut, Remote; Canada, Ontario, Remote; Canada, Prince Edward Island, Remote; Canada, Quebec, Remote; Canada, Saskatchewan, Remote; Canada, Yukon, Remote Job ID R0000042912 Category Statistical Programmer Date Posted 06/18/2026Overview
As a member of Parexel’s Statistical Programming group, you analyze, summarize, and graphically present clinical data to assess the safety and efficacy of the clinical trial. It requires attention to detail, a commitment to quality, and effective communication to ensure new treatments reach patients faster. You will work in different therapeutic areas assessing a variety of data entries and endpoints in an ever-changing environment. We provide a fertile environment for growth, with extensive training, mentoring, and technical knowledge sharing.
You will work closely with the client and Parexel teams and collaborate to maximize the collective strength. Experience a supportive and motivating work environment where our teams offer an inherent breadth of knowledge within a diverse and inclusive workplace.
Success Profile
Do you have these soft skills and interpersonal traits to succeed at Parexel?
- Analytical
- Detail-oriented
- Independent
- Proactive
- Responsible
- Team-player
About This Role
Parexel is seeking a Senior Real-World Evidence (RWE) Analyst Programmer
Join a high-impact team as aremote Sr. Real-World Evidence Analyst Programmer,
supporting innovative work acrossCanada 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 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 isrequired
Experience writing original codeand 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 communicationand collaboration skills
Competent in written and oral English.
#LI-REMOTE
EEO Disclaimer
Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the United States includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
Potential Career Path
Parexel offers career paths for Statistical Programmers to progress in their technical position or managerial position, as well as options to move to other areas of the business.
- Statistical Programmer I
- Statistical Programmer II
- Senior Statistical Programmer
- Subject Matter ExpertPeople Management
Employee Insights
Why Statistical Programmers work at Parexel
