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

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

Job summary

A leading consulting firm in the United Kingdom is seeking a Senior Consultant to lead complex evidence evaluation and network meta-analysis projects. The ideal candidate will have a Master's or Doctoral Degree in Health Economics or a related field and over 8 years of relevant experience. Responsibilities include providing statistical capabilities and leveraging expertise in systematic review methodologies to drive project success. This role offers opportunities for professional growth within a dynamic team environment.

Qualifications

• Master's or Doctoral Degree in Health Economics, Statistics, or related field.
• 8+ years of experience in health economics with systematic literature reviews.
• Strong basis in fundamental statistical concepts and methods.

Responsibilities

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

Skills

Statistical theory

Data analysis

Regression analysis

MS Office

Communication skills

Analytical ability

Project management

Health economics

Education

Master's degree in Health Economics, Statistics or related

Tools

SAS

R

SPSS

STATA

Python

WinBUGS

Job description

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 his/her 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 other related quantitative fields.

Knowledge and Experience

• Training and extensive experience in health economics, including the conceptualization and development of systematic literature reviews and network meta-analyses (8+ years, ideally in a consultancy environment)

• Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as the development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques

• Familiarity with machine learning techniques and Bayesian statistics is a plus

• Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly

• Ability to communicate effectively, in non-technical terms, with project team members and clients

• Experience in managing projects and leading/coaching a project team

• Keen interest in medical research, provision of healthcare, and the pharmaceutical industry

Skills

• Strong computing skills (MS Office), including MS Excel

• High analytical ability

• Excellent scientific, business writing, and presentation skills with close attention to detail

• Ability to work under pressure to meet multiple and sometimes competing deadlines

• Exceptional communication skills, both oral and in writing, especially in the relaying of technical information and what is essential and strategic to the client

• Self-motivation, enthusiasm, ambition, and flexibility

• Competent in written and spoken English

• Software: SAS (Base, Stat, Graph, Macro), R, SPSS, STATA, and WinBUGS; Python is a plus

Education

• Master’s degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics, or statistics

EEO Disclaimer

Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.