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

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Client: ParexelLocation: London, United KingdomJob Category: OtherEU work permit required: YesJob Reference: 135124fca5bcJob Views: 7Posted: 18.07.2025Expiry Date: 01.09.2025Job 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 the use of 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 other 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 such as 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 project team members and clients in non-technical terms.Experience in managing projects 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 to meet multiple deadlines.Exceptional oral and written communication skills, especially in relaying technical information effectively.Self-motivation, enthusiasm, ambition, and flexibility.Proficiency 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 a quantitative discipline such as health economics, economics, mathematics, or ..... full job details .....