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

Parexel; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading company in the healthcare sector is seeking a Senior Consultant in HEOR to lead complex projects involving evidence evaluation and network meta-analysis. This role requires strong analytical skills, a Master's or Doctoral Degree in a quantitative field, and extensive experience in health economics. The successful candidate will have the opportunity to work on high-impact projects, utilizing advanced statistical methodologies and techniques within a collaborative team environment.

Qualifications

• 8+ years of experience in health economics and systematic literature reviews.
• Strong foundation in statistical methods and project management experience.
• Master's or Doctoral Degree in Health Economics, Statistics, or related fields.

Responsibilities

• Lead and oversee complex evidence evaluation and network meta-analysis projects.
• Provide statistical capabilities and methodological leadership throughout all project stages.
• Leverage expertise in evidence synthesis and statistical techniques to deliver client solutions.

Skills

Analytical Ability

Scientific Writing

Presentation Skills

Problem-Solving

Communication Skills

Education

Master’s degree in Life Sciences or Quantitative Discipline

Tools

SAS

R

SPSS

STATA

WinBUGS

Python

Job description

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

Client: Parexel

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 135124fca5bc

Job Views: 7

Posted: 18.07.2025

Expiry Date: 01.09.2025

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 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 statistics.