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Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis), Uxbridge
Client: Parexel
Location: Uxbridge, United Kingdom
Job Category: Other
EU work permit required: Yes
Job Reference: 252b4ad2a574
Job Views: 8
Posted: 25.08.2025
Expiry Date: 09.10.2025
Job Description:
When our values align, there's no limit to what we can achieve.
Summary of This Role:
* Lead and oversee complex evidence evaluation and network meta-analysis (NMA) projects, ensuring robust methodologies and high-quality outputs.
* Provide statistical capabilities and methodological leadership throughout all project stages, from planning to completion.
* Leverage expertise in evidence synthesis, systematic review methodologies, and advanced statistical techniques to design, develop, and deliver client solutions.
* Apply proficiency in statistical theory, data analysis, 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 related quantitative fields.
Knowledge and Experience:
* Training and extensive experience in health economics, including systematic literature reviews and network meta-analyses (8+ years, ideally in a consultancy environment).
* Strong foundation in statistical concepts and methods, familiarity with techniques like predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, and hierarchical analysis techniques.
* Familiarity with machine learning techniques and Bayesian statistics is a plus.
* Strong communication and problem-solving skills, with an ability to learn quickly.
* Effective communication with team members and clients in non-technical terms.
* Experience in project management and leading/coaching project teams.
* Keen interest in medical research, healthcare provision, and the pharmaceutical industry.
Skills:
* High analytical ability.
* Excellent scientific, business writing, and presentation skills with attention to detail.
* Ability to work under pressure and meet multiple deadlines.
* Exceptional oral and written communication skills, especially in relaying technical information strategically.
* Self-motivated, enthusiastic, ambitious, and flexible.
* Proficient in written and spoken English.
* Software skills: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, WinBUGS; Python is a plus.
Education:
* Master’s degree or equivalent in life sciences or quantitative disciplines such as health economics, economics, mathematics, or statistics.
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