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

Parexel; United Kingdom; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading health consultancy in the UK is seeking a Senior Consultant for HEOR to lead evidence evaluations and network meta-analysis projects. The ideal candidate will have significant experience in health economics and advanced statistical techniques. This role offers the opportunity to provide statistical leadership and deliver high-quality outcomes in a dynamic environment.

Qualifications

• 8+ years in health economics, systematic literature reviews, and network meta-analyses.
• Strong foundation in statistical concepts and methodologies.
• Effective communication for technical and non-technical audiences.

Responsibilities

• Lead and oversee complex evidence evaluation and network meta-analysis projects.
• Provide statistical capabilities and methodological leadership throughout all project stages.
• Design and develop client solutions leveraging expertise in evidence synthesis.

Skills

Analytical ability

Scientific writing

Presentation skills

Communication skills

Flexibility

Proficiency in English

Statistical software skills (SAS, R, SPSS, STATA, WinBUGS)

Education

Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics

Tools

SAS

R

Python

SPSS

STATA

WinBUGS

Job description

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

Client:

Parexel

Location:

United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

24

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:

• 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 predictive equations, survival analysis, longitudinal data analysis, meta-analysis, and hierarchical techniques.
• Familiarity with machine learning and Bayesian statistics is a plus.
• Strong communication and problem-solving skills, with ability to learn quickly.
• Effective communication skills for both technical and non-technical audiences.
• Experience in project management and team leadership/coaching.
• 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 oral and written communication skills, especially in conveying technical information.
• Self-motivation, enthusiasm, flexibility.
• Proficiency in 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.