Senior RWE/RWA Programmer

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 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

What You Will Do

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

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 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.

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