Senior Biostatistician

November 8

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Parexel

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Healthcare Insurance • Biotechnology • Pharmaceuticals

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.

10,000+ employees

Founded 1983

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

💰 Venture Round on 1990-01

📋 Description

• Supervise, advise and review: Leverage your expertise. • Develop complex analysis strategies and execute them using efficient programming techniques (software: SAS, R). • Perform intricate statistical analyses and provide input to statistical reports. • Provide input to analysis plans, statistical reports, statistical sections of integrated clinical reports. • Review analysis data sets and quality control all types of statistical analysis deliverables. • Train and uplift junior members of the department. • Liaise with other biostatistical and company departments to optimize global efficiency. • Coordinate Biostatistics related project activities for successful completion within given timelines and budget. • Coordinate with clients with regard to data analysis, scope of work, and budget. • Represent Parexel at client meetings.

🎯 Requirements

• A minimum of 5 years industry (or directly relevant) experience • A thorough understanding of the statistical aspects of either clinical trials and/or observational studies • Experience in statistical analysis in a clinically related subject, either within clinical trials or in Epidemiology • SAS programming or R programming skills • A Masters or Ph.D. level education in biostatistics, statistics, mathematics, or another relevant discipline • Strong oral and written English communication skills

🏖️ Benefits

• Work collaboratively • Flexible work hours • Professional development opportunities