Senior Consultant, HEOR - Evidence Evaluation & Network Meta-analysis

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June 26

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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

• leads and oversees complex evidence evaluation and network meta-analysis (NMA) projects, ensuring the use of robust methodologies and high-quality outputs. • provides statistical capabilities and methodological leadership throughout all project stages, from planning to completion. • leverages his/her expertise in evidence synthesis, systematic review methodologies, and advanced statistical techniques to design, develop, and deliver client solutions. • applies proficiency in statistical theory, data analysis and interpretation, regression analysis, and various statistical software tools (such as WinBugs, R, Stata, Python, and SAS) to drive project success.

🎯 Requirements

• Training and extensive experience in health economics, including the conceptualization and development of systematic literature reviews and network meta-analyses (8+ years, ideally in a consultancy environment) • Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as the development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques • Familiarity with machine learning techniques and Bayesian statistics is a plus • Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly • Ability to communicate effectively, in non-technical terms, with project team members and clients • Experience in managing projects and leading/coaching a project team • Keen interest in medical research, provision of healthcare, and the pharmaceutical industry