Senior RWE/RWA Programmer

Responsibilities

• 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

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
• 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.
• EEO Disclaimer
• Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

Benefits

Additional Information

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. 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

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