Senior Real-World Evidence (RWE) Analyst, Programmer

July 29

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ClinChoice

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Biotechnology • Pharmaceuticals • Healthcare Insurance

ClinChoice is a global full-service contract research organization (CRO) established in 1995, specializing in clinical development, post-marketing, and functional service support for the pharmaceutical, biotechnology, and medical devices industries. They provide comprehensive solutions from early clinical development to post-approval lifecycle management, with expertise in a variety of therapeutic areas such as autoimmune and inflammation, dermatology, endocrinology, infectious diseases, neuroscience, and oncology. ClinChoice aims to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. The company supports its clients with clinical, regulatory, and operational expertise across all phases of product development.

1001 - 5000 employees

Founded 1998

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

📋 Description

• Design and execute statistical programming to support real-world evidence studies. • Work with observational datasets such as claims, EHR, and registries. • Apply appropriate statistical methodologies (e.g., propensity score matching, regression modeling, survival analysis). • Develop, validate, and maintain reusable SAS and R macros or functions. • Collaborate with epidemiologists, statisticians, and HEOR experts on study design and data interpretation. • Contribute to protocol development, statistical analysis plans (SAPs), and final reports or publications. • Ensure compliance with data governance, privacy (e.g., HIPAA), and company policies

🎯 Requirements

• Bachelor’s or Master’s degree in Biostatistics, Statistics, Epidemiology, Computer Science, or a related field. • 5+ years of experience in statistical programming within life sciences, with at least 3 years in RWE or observational research. • Strong programming experience in SAS and R. • Hands-on experience with real-world data sources (e.g., MarketScan, Optum, Flatiron, IQVIA, Cerner). • Strong knowledge of epidemiologic and statistical methods used in observational research. • Experience with regression models, survival analysis, propensity score techniques, etc. • Ability to interpret results and generate insights that are meaningful to cross-functional teams. • Excellent communication skills and ability to work independently.