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Senior Consultant, HEOR (Evidence Evaluation & Network Meta-analysis), Littlehampton
Client: Parexel
Location: Littlehampton
Job Category: Other
EU work permit required: Yes
Job Reference: 412a8efb9fe4
Job Views: 9
Posted: 12.08.2025
Expiry Date: 26.09.2025
Job Description:
When our values align, there's no limit to what we can achieve.
Summary of This Role:
* 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 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 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, familiar with predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and hierarchical analysis techniques.
* Familiarity with machine learning techniques and Bayesian statistics is a plus.
* Strong communication (spoken and written), problem-solving skills, and ability to learn quickly.
* Effective communication with team members and clients in non-technical terms.
* Experience managing projects and leading/coaching 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 deadlines.
* Exceptional communication skills, especially in relaying technical information.
* 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 statistics.
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