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 .
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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