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Senior RWE/RWA Programmer

🕒 June 19

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Logo of Parexel

Parexel

10,000+ employees

Founded 1983

đŸ’Œ Consulting

đŸ„ Healthcare

📩 Logistics

💰 Venture Round on 1990-01

Consulting ‱ Healthcare ‱ Logistics

Parexel is one of the world's largest clinical research organizations (CROs), providing comprehensive services for the clinical development process from Phase I to IV. The company specializes in portfolio management, clinical trial management, regulatory strategy, market access, and lifecycle management for biopharmaceuticals. Parexel aims to speed life-changing medicines to market by leveraging its clinical, regulatory, and therapeutic expertise. With a global team of over 21,000 professionals, Parexel works to integrate patient insights and innovative trial designs to develop treatments across therapeutic areas such as oncology, neuroscience, rare diseases, and more. It focuses on delivering patient-centric and efficient clinical trials.

📋 Description

‱ 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

🎯 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.

đŸ–ïž Benefits

‱ Health insurance ‱ 401(k) matching ‱ Flexible work hours ‱ Paid time off ‱ Professional development opportunities

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