Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis)
London, United Kingdom Additional Locations United Kingdom-Harrow; United Kingdom-Harrow-Remote; United Kingdom-Littlehampton(Closed); United Kingdom-London-Gridiron-Remote; United Kingdom-Navigation House; United Kingdom-Sheffield-Remote; United Kingdom-Uxbridge; United Kingdom-Uxbridge-Remote; United Kingdom-Worthing; United Kingdom-Worthing-Remote Job ID R0000034179 Category Consulting Date Posted 06/25/2025Overview
As part of Parexel Consulting, you will play a vital role in helping biopharmaceutical and medical device companies navigate the complex and ever-changing regulatory landscape. Drawing on your scientific, technical, and regulatory expertise, you will work closely with clients to develop and implement regulatory strategies that bring their products to market faster and keep them there.
We value collaboration, innovation, and continuous learning. As a member of our team, you will partner with a diverse group of clients, and be exposed to various product types and therapeutic areas. You will also develop your skills through challenging assignments and mentorship from experienced regulatory professionals. Plus, you will enjoy the flexibility of working remotely while still being part of a supportive and dynamic team.
Success Profile
Do you have these soft skills and interpersonal traits to succeed at Parexel?
- Communicator
- Detail-oriented
- Problem-solver
- Relationship-builder
- Results-driven
- Strategic
About This Role
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
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