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

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

Job summary

A leading consultancy in healthcare analytics seeks a Senior Consultant in Worthing, UK. You will lead complex evidence evaluation projects, utilizing your expertise in health economics and statistical methodologies. A Master’s or Doctoral degree in a quantitative field is required, along with 8+ years of experience in health economics and systematic reviews. You'll provide statistical leadership across project stages and deliver high-quality outputs to clients, enhancing healthcare provision through data-driven insights.

Qualifications

• Experience in health economics (8+ years) and systematic literature reviews.
• Strong basis in statistical concepts and methods.
• Ability to communicate effectively with project teams and clients.

Responsibilities

• Lead and oversee complex evidence evaluation projects.
• Provide statistical capabilities throughout project stages.
• Deliver client solutions using expertise in evidence synthesis and statistical techniques.

Skills

Strong computing skills (MS Office)

High analytical ability

Excellent scientific writing

Presentation skills

Strong communication skills

Self-motivation

Competent in written and spoken English

Education

Master’s or Doctoral Degree in quantitative fields

Tools

SAS

R

SPSS

STATA

WinBUGS

Python

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 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