Senior RWE/RWA Programmer

Parexel

Senior Real-World Evidence Analyst Programmer supporting innovative work across Canada and the US. Designing and coding R and SQL programs for real-world data analysis.

Posted 6/19/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities

ATS Keywords

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Hard Skills & Tools

R programmingSQL programmingstatistical analysisepidemiological methodologiesdata validationdata analysisdashboard developmentreport generationSASPython

Soft Skills

communicationcollaborationindependenceteam-orientedorganizational skills