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[Remote] Health Economist Statistician

100% Remote Full-time Open now

Note: The job is a remote job and is open to candidates in USA. Parexel is a global biopharmaceutical services organization, and they are seeking a Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician) to contribute statistical capabilities and methodological leadership across multiple projects. The role involves working with junior team members to design, develop, and deliver client solutions, ensuring Access/HTA evidentiary activities are strategically aligned with the organization.

Responsibilities

  • Provide expert input on the design of clinical development programs to ensure Access/HTA evidence needs are considered within global development and commercialization strategies.
  • Identify evidence gaps, possible data sources, and design and implement robust evidence-generation plans.
  • Ensure Access/HTA evidentiary activities are strategically aligned with other functions within Global Access and the wider organization (affiliates, Product Development, commercial, etc.).
  • Plan and conduct statistical analyses of clinical trials and other relevant data sources and develop supporting technical documentation for statistical analyses and economic models.
  • Interpret and communicate the findings of analyses and work closely with affiliates to incorporate global statistical and health economics input into their local reimbursement applications.
  • Lead or contribute to cross-functional teams within a matrix structure and actively contribute to the development of methodologies and continuous improvement within the Evidence Chapter.
  • Keep up to date with the changing Access/HTA landscape and academic research to ensure current access trends and methodologies are incorporated into evidentiary plans and build relationships with relevant external statistics, health economics, Access/HTA, and policy experts.
  • Prepare network meta-analysis protocols.
  • Review data extracted from systematic literature reviews.
  • Conduct feasibility assessments.
  • Generate network diagrams.
  • Critically assess study heterogeneity.
  • Conduct network meta-analysis.
  • Assist with interpretation and dissemination of findings. Skills
  • Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other quantitative fields
  • 3+ years of experience in Network Meta-Analysis (NMA) and survival analysis
  • 3+ years of experience in Indirect Treatment Comparison (ITC)
  • 3+ years of experience in Meta-analysis and comparative effectiveness research
  • 3+ years of experience in HTA submission support and dossier development
  • 3+ years of experience in collaborating with affiliates
  • Proficiency in data analytics and statistical software/tools such as WinBUGS, R, Stata, Python, and SAS
  • In-depth knowledge of Access and HTA, clinical research and development methods, and international payer evidence requirements
  • Skilled in research design and statistical methods, such as Generalized Linear Models, Survival Analysis, Network Meta-Analysis, and Bayesian statistics
  • Strong strategic, collaboration, and communication skills
  • Excellent organization, planning, and prioritization abilities
  • Ability to meet tight deadlines
  • Strong written and verbal communication skills in English
  • Experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software
  • Pharma affiliate experience Company Overview
  • Parexel is among the world’s largest clinical research organizations (CROs), providing the full range of Phase I to IV clinical development services to help life-saving treatments reach patients faster. It was founded in 1983, and is headquartered in Raleigh, North Carolina, US, with a workforce of 10001+ employees. Its website is Company H1B Sponsorship
  • Parexel has a track record of offering H1B sponsorships, with 23 in 2025, 47 in 2024, 42 in 2023, 51 in 2022, 54 in 2021, 33 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job Apply tot his job Apply tot his job

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