Consultant, Advanced Analytics: Meta-Analysis, HTA Statistician

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Parexel is hiring an FSP Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician) to work remotely. Must be able to accommodated East Coast/CET hours. The ideal candidate will have key experience in NMA/Evidence Synthesis, Survival analysis, and HTA experience.

Location: US - Remote |

Employment Type: Full-Time

Job Purpose

The Statistician, Consultant, Advanced Analytics: Meta-Analysis, contributes statistical capabilities and methodological leadership at all stages of projects, from planning to completion. The role involves working with junior team members to design, develop, and deliver client solutions across multiple projects—leveraging competencies in statistical theory, data analysis and interpretation, regression analysis, systematic review, and evidence synthesis methodologies .

The individual must have a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics , or other quantitative fields. Proficiency in data analytics and statistical software/tools such as WinBUGS, R, Stata, Python, and SAS is required.

Key Accountabilities

• 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.
  
  

The Consultant is responsible for ensuring that all assigned projects are conducted efficiently and that quality and client satisfaction are maximized—ensuring project direction and deliverables meet objectives and client needs.

Consultants are expected to guide Senior Associates and Associates in their daily duties and flag any areas of acute training needs to their line managers. Supported by senior staff and Business Development partners, the Consultant is responsible for maintaining client relationships on their projects.

Duties

Candidates will be part of multi-disciplinary research teams and will provide statistical expertise and methodological leadership at all stages of projects from planning to completion. Duties may include:

• Preparing network meta-analysis protocols
• Reviewing data extracted from systematic literature reviews
• Conducting feasibility assessments
• Generating network diagrams
• Critically assessing study heterogeneity
• Conducting network meta-analysis
• Assisting with interpretation and dissemination of findings
  
  

The candidate is also expected to support thought leadership and innovation objectives in advanced analytics, including but not limited to:

• Pairwise meta-analysis
• Mixed treatment comparison
• Indirect treatment comparison
• Network meta-analysis
• Match-adjusted indirect treatment analysis
• Meta-regression
• Single-arm trial analysis
• Simulated treatment comparison
• Surrogate outcome assessment
  
  

• Master's or Doctoral-level degree in applied statistics, health economics, or related quantitative fields.
• Minimum of 3 years of hands-on experience in the pharmaceutical industry, consultancy, Access/HTA/reimbursement agency, or academic institution (pharma affiliate experience is 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, such as Generalized Linear Models, Survival Analysis, Network Meta-Analysis, and Bayesian statistics .
• Proficient in R and GitLab (experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus).
• Strong strategic, collaboration, and communication skills; excellent organization, planning, and prioritization abilities; ability to meet tight deadlines; and strong written and verbal communication skills in English.
  
  

EEO Disclaimer

Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

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