Consultant, Advanced Analytics – Meta-Analysis, HTA Statistician

November 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

• The Consultant, Advanced Analytics: Meta-Analysis contributes statistical capabilities and methodological leadership at all stages of projects, from planning to completion. • Provide expert input on the design of clinical development programs to ensure Access/HTA evidence needs are considered within global development and commercialization strategies. • Identify evidence gaps, possible data sources, and design and implement robust evidence-generation plans. • Ensure Access/HTA evidentiary activities are strategically aligned with other functions within Global Access and the wider organization (affiliates, Product Development, commercial, etc.). • Plan and conduct statistical analyses of clinical trials and other relevant data sources and develop supporting technical documentation for statistical analyses and economic models. • Interpret and communicate the findings of analyses and work closely with affiliates to incorporate global statistical and health economics input into their local reimbursement applications. • Lead or contribute to cross-functional teams within a matrix structure and actively contribute to the development of methodologies and continuous improvement within the Evidence Chapter. • Keep up to date with the changing Access/HTA landscape and academic research to ensure current access trends and methodologies are incorporated into evidentiary plans and build relationships with relevant external statistics, health economics, Access/HTA, and policy experts.

🎯 Requirements

• Master's or Doctoral-level degree in applied statistics, health economics, or related quantitative fields. • Minimum of 3 years of hands-on experience in the pharmaceutical industry, consultancy, Access/HTA/reimbursement agency, or academic institution (pharma affiliate experience is a plus). • In-depth knowledge of Access and HTA , clinical research and development methods, and international payer evidence requirements. • Skilled in research design and statistical methods, such as Generalized Linear Models, Survival Analysis, Network Meta-Analysis, and Bayesian statistics . • Proficient in R and GitLab (experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus). • Strong strategic, collaboration, and communication skills; excellent organization, planning, and prioritization abilities; ability to meet tight deadlines; and strong written and verbal communication skills in English.

🏖️ Benefits

• health insurance • retirement plans • paid time off • flexible work arrangements • professional development