Senior Meta-Analysis & HTA Analytics Lead (Remote)

Parexel; Sheffield; Remote; GBP 70,000 - 95,000; Full time

Job summary

Parexel is seeking a Senior Associate, Advanced Analytics, Meta-Analysis in the United Kingdom. The role focuses on statistical design, evidence generation, and HTA-ready analyses for global development programs, with strong emphasis on collaboration and communications.

Applicants typically hold a Master’s or Doctoral degree in a quantitative field and 3+ years in pharma/HTA settings, with expertise in GLMs, network meta-analyses, Bayesian methods, and proficiency in R and related tools.

Qualifications

• A Master's or Doctoral-level degree in applied statistics, health economics, and related quantitative fields.
• At least 3 years of hands-on pharma/HTA/reimbursement experience, or equivalent.
• Solid knowledge of Access/HTA, R, and statistical methods for evidence generation.
• Strong written and verbal English communication; ability to work in a matrix setting.

Responsibilities

• Provide input into design of clinical development programs to address HTA evidence needs.
• Identify evidence gaps and design robust evidence-generation plans.
• Align evidentiary activities with Global Access and other functions.
• Plan and conduct statistical analyses on trials and other data; prepare documentation.
• Interpret findings and support reimbursement submissions with global input.
• Lead or contribute to cross-functional teams and drive methodological improvements.
• Stay current with Access/HTA trends and engage with external experts.

Skills

Statistical methods

R programming

Communication skills

Collaboration

Project management

Education

Master's or Doctoral degree in applied statistics/health economics

Tools

R

GitLab

SAS

Python

WinBUGS/JAGS

Job description

Parexel is seeking a Senior Associate, Advanced Analytics, Meta-Analysis in the United Kingdom. The role focuses on statistical design, evidence generation, and HTA-ready analyses for global development programs, with strong emphasis on collaboration and communications.

Applicants typically hold a Master’s or Doctoral degree in a quantitative field and 3+ years in pharma/HTA settings, with expertise in GLMs, network meta-analyses, Bayesian methods, and proficiency in R and related tools.