Senior RWE/RWA Programmer

Parexel•Quebec, NT

7d•Remote

About The Position

Parexel is seeking a Senior Real-World Evidence (RWE) Analyst Programmer to join a high-impact team as a remote Sr. Real-World Evidence Analyst Programmer, supporting innovative work across Canada or the Continental United States. This role is for individuals 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, demonstrating advanced knowledge of programming and system development life cycle concepts, maintaining documentation for reproducible studies, developing dashboards and reports, and collaborating with study team members 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 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
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

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
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