Senior Associate, Advanced Analytics, Meta-Analysis

PAREXEL · London, England ·

Last confirmed by our partners on 17 Oct 2026.

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Overview

In this role, you will contribute to generating robust evidence for health technology assessment across global development programs. You will work within the Global Access and wider Parexel teams to align HTA evidence needs with development and commercialization strategies, shaping evidence-generation plans.

You will perform statistical analyses on clinical data and economic models, and translate results into actionable insights for reimbursement submissions. This position offers impacting work in access strategies, evidence design, and cross-functional collaboration in a mission-driven environment.

Responsibilities

  • Provide expert input into clinical development program design to meet Access/HTA evidence needs within global strategies
  • Identify evidence gaps and data sources, and design robust evidence-generation plans
  • Align HTA activities with other functions across Global Access and the wider organization
  • Plan and conduct statistical analyses on clinical trials and other data sources; develop technical documentation for analyses and models
  • Interpret findings and incorporate global statistical and health economics input into local reimbursement applications
  • Lead or contribute to cross-functional teams and contribute to methodological development and continuous improvement in the Evidence Chapter
  • Stay up-to-date with HTA landscape and academic research to integrate current trends and build relationships with external experts

Key requirements

  • Masters or Doctoral-level degree in applied statistics, health economics, or related quantitative fields
  • Minimum of 3 years experience in pharmaceutical industry, consultancy, Access/HTA/reimbursement agency, or academia
  • In-depth knowledge of Access/HTA, clinical development methods, and international payer evidence requirements
  • Skilled in research design and statistical methods (GLMs, survival analysis, network meta-analysis, Bayesian statistics) and proficient in R and GitLab; SAS/Python/WinBUGS/JAGS are a plus
  • Strong strategic, collaboration, and communication skills; excellent organization, planning, and prioritization; fluent in English
  • strong collaboration
  • clear communication
  • effective planning
  • Generalized Linear Models
  • Survival analysis
  • Network Meta-Analysis
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