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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
Expert Coder: The ideal candidate spends most of their time hands-on coding versus project management or oversight responsibilities, has hands-on experience with raw RWE data including both claims data and Flatiron EHR and can write SQL code from scratch.

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.
Daily work % estimates: Coding (80%-90% of their daily work) + copying and pasting the numbers into the excel table shells (5%-20%)

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 2-3 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

Hands-on experience with Flatiron data required; experience with Optum may be considered

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.

#LI-REMOTE

Apply Now

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