Senior Associate, Meta-Analysis & Advanced Analytics

Parexel; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Parexel seeks a skilled statistician/health economist to bolster our Access/HTA capabilities in the US. You will design analyses, identify evidence needs, and support global development with payer-oriented insights.

Requires a Master’s/PhD in statistics or health economics, 3+ years in pharma/consulting, with expertise in GLM, survival and network meta-analysis, Bayesian methods, and proficiency in R and GitLab (SAS/Python/WinBUGS a plus). English fluency essential.

Qualifications

• Master’s or Doctoral-level degree in applied statistics, health economics, and related quantitative fields.
• Minimum of 3 years of hands-on experience in pharmaceutical industry, consultancy, Access/HTA/reimbursement agency, or academia (pharma affiliate experience a plus).
• In-depth knowledge of Access and HTA, clinical research and development methods, and international payer evidence requirements.
• Skilled in research design and statistical methods; proficient in R and GitLab; experience with SAS, Python, WinBUGS/JAGS a plus.
• Strong English communication, collaboration, and project-management skills.

Responsibilities

• Provide expert input into design of clinical development programs to address HTA evidence needs.
• Identify evidence gaps, data sources, and design robust evidence-generation plans.
• Align HTA activities with Global Access and wider organization functions.
• Plan and conduct statistical analyses on trials and other data sources; develop documentation for analyses and models.
• Interpret findings and work with affiliates to incorporate global input into local reimbursement submissions.
• Lead or contribute to cross-functional teams and develop methodologies within the Evidence Chapter.
• Keep up to date with HTA landscape and research to inform evidentiary plans and external relationships.

Skills

GLM analysis

Survival analysis

Network Meta-Analysis

Bayesian statistics

English communication

Education

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

Tools

R

GitLab

SAS

Python

WinBUGS/JAGS

Job description

Parexel seeks a skilled statistician/health economist to bolster our Access/HTA capabilities in the US. You will design analyses, identify evidence needs, and support global development with payer-oriented insights.

Requires a Master’s/PhD in statistics or health economics, 3+ years in pharma/consulting, with expertise in GLM, survival and network meta-analysis, Bayesian methods, and proficiency in R and GitLab (SAS/Python/WinBUGS a plus). English fluency essential.