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

Parexel; Worthing; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading pharmaceutical consultancy is seeking a Senior Consultant for Evidence Evaluation and Network Meta-analysis in Worthing. This role involves leading complex projects, providing statistical expertise, and ensuring high-quality outputs. Applicants should have over 8 years of experience in health economics and a relevant Master's or Doctoral degree. Strong communication and project management skills are essential. The position offers competitive compensation and development opportunities.

Qualifications

• 8+ years of experience in health economics, systematic literature reviews, and network meta-analyses.
• Strong foundation in statistical concepts and methods.
• Experience managing projects and leading teams.

Responsibilities

• Lead and oversee evidence evaluation and network meta-analysis projects.
• Provide statistical capabilities and methodological leadership.
• Leverage expertise in evidence synthesis and statistical techniques.

Skills

Analytical ability

Scientific writing

Presentation skills

Project management

Communication skills

Statistical software skills

Education

Master’s degree in life sciences or quantitative disciplines

Tools

SAS

R

SPSS

STATA

WinBUGS

Python

Job description

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

Client: Parexel

Location: Worthing, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 71f78cbda6fb

Job Views: 21

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 techniques like predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, and hierarchical analysis techniques.
• Familiarity with machine learning and Bayesian statistics is a plus.
• Strong communication (spoken and written), problem-solving skills, and quick learner.
• 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 oral and written communication skills, especially in relaying technical information effectively.
• Self-motivated, enthusiastic, ambitious, flexible.
• Proficient 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.