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

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Summary of This Role:-

This Senior Consultant;

* 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.

This role requires a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields.

Knowledge and Experience:

• 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

Skills:

• Strong computing skills (MS Office), including MS Excel
• High analytical ability
• Excellent scientific, business writing, and presentation skills with close attention to detail
• Ability to work under pressure to meet multiple and sometimes competing deadlines
• Exceptional communication skills, both oral and in writing, especially in the relaying of technical information and what is essential and strategic to the client
• Self-motivation, enthusiasm, ambition, and flexibility
• Competent in written and spoken English
• Software: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus

Education

• Master’s degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics, or statistics