Senior RWE/RWA Programmer
About The Position
Parexel is seeking a Senior Real-World Evidence (RWE) Analyst Programmer. This role supports innovative work across Canada or the Continental United States. The ideal candidate is passionate about real-world data, advanced analytics, and delivering meaningful insights. The position involves designing and coding R and SQL programs, cleaning and validating Real-World Data (RWD), implementing programming based on RWE protocols using various RWD sources, leveraging advanced statistical and epidemiological methodologies, creating and reviewing programming plans, and maintaining documentation for reproducible studies. The role also includes developing dashboards, reports, and presentations, and collaborating with study teams to meet timelines.
Requirements
- 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
- Strong hands-on experience with Optum and/or Flatiron data
- Fluency in SQL and R programming
- 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
- 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
- Competent in written and oral English
Nice To Haves
- Knowledge of SAS and/or Python is considered an advantage
- Experience with flexible, team-oriented environment
Responsibilities
- 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
- Work collaboratively with members of study teams to meet study and recurring report timelines
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What This Job Offers
Job Type
Full-time
Career Level
Senior
