Senior Consultant - Advanced Analytics - RWE Analytics

January 7

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Parexel

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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.

Regulatory and product development consulting • early phase clinical research • phase II-III clinical research • late phase clinical research • eClinical solutions

10,000+ employees

Founded 1983

⚕️ Healthcare Insurance

🧬 Biotechnology

💊 Pharmaceuticals

💰 Venture Round on 1990-01

📋 Description

• Contributes statistical programming capabilities and programming leadership at all stages of projects. • Works with junior team members in designing, developing, and delivering client solutions across multiple projects. • Acts as a lead statistical programmer to interact with the study team and the sponsor. • Reviews case report forms (CRFs), data management plans, data specifications, and other related study documents. • Prepares specifications for CDISC and other analysis datasets. • Independently develops SAS programs to generate listings, tables and figures as outlined by a statistical analysis plan. • Performs QC and validation of TLFs, CDISC and other analysis datasets. • Provides high level input to the development of client deliverables and support to existing clients both within and outside of projects. • Proactively mentors and develops team members to help achieve best in class status. • Ensures quality standards are adhered to on all projects.

🎯 Requirements

• Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other quantitative fields. • Proficiency in data analytics and statistical software/tools like R, Stata, Python, and SAS. • 8+ years of relevant experience. • Ability to work under pressure to meet multiple and sometimes competing deadlines. • Excellent scientific, business writing, and presentation skills with close attention to detail. • Exceptional communication skills, especially in the relaying of technical information and project concepts. • Knowledge and Experience with SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS.