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

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

Job summary

A leading company in the healthcare sector is seeking a Senior Consultant specializing in HEOR to drive complex evidence evaluation and network meta-analysis projects. This role offers the chance to lead statistical methodologies and contribute to client solutions in a dynamic environment. The successful candidate will possess a strong academic background and extensive hands-on experience in health economics. Join us in making significant impacts on health policies and healthcare delivery.

Qualifications

• Master’s or Doctoral degree in Health Economics, Statistics, or related fields.
• 8+ years in health economics with consultancy experience preferred.
• Strong background in statistical methods and communication.

Responsibilities

• Lead and oversee evidence evaluation and network meta-analysis projects.
• Provide statistical and methodological leadership throughout project stages.
• Design and deliver client solutions using advanced statistical techniques.

Skills

Analytical ability

Scientific writing

Presentation skills

Communication skills

Problem-solving skills

Self-motivation

Flexibility

Education

Master’s degree in health economics or statistics

Tools

SAS

R

SPSS

STATA

WinBUGS

Python

Job description

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

Client: Parexel

Location: United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference:

Job Views: 3

Posted: 29.06.2025

Expiry Date: 13.08.2025

Job Description:

When our values align, there's no limit to what we can achieve.

Summary of This Role:

This Senior Consultant:

• 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, 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 (spoken and written) and problem-solving skills, with the ability to learn quickly.
• Effective communication with project team members and clients in non-technical terms.
• 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 to meet deadlines.
• Exceptional communication skills, especially in relaying technical information strategically to clients.
• 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 quantitative disciplines such as health economics, economics, mathematics, or statistics.