Consultant, Advanced Analytics: Meta-Analysis (HTA Statistician)

Summary

Parexel is a global leader in the pharmaceutical services industry, and they are seeking a Consultant, Advanced Analytics: Meta-Analysis to contribute statistical capabilities and methodological leadership at all stages of projects. The role involves designing, developing, and delivering client solutions while collaborating with junior team members and ensuring high-quality deliverables.

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
• Ensure that all assigned projects are being conducted in an efficient manner and that quality and client satisfaction is maximized at all times -- ensuring the direction of the project and the quality of the deliverables meet the project objectives and the client needs
• Guide the Senior associates and Associates in their daily duties and to flag any areas of acute training needs to their line managers
• Independently contribute to the preparation of network meta-analysis protocols, reviewing data extracted from systematic literature reviews, conducting feasibility assessments, generation of network diagrams, critical assessment of study heterogeneity, conducting network meta-analysis, and assisting with the interpretation and dissemination of findings

Skills

• A Master's or Doctoral-level degree in applied statistics, health economics, and related quantitative fields
• A minimum of 3 years of hands-on experience working in the pharmaceutical industry, a consultancy, Access/HTA/reimbursement agency, or academic institution
• Demonstrate 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
• Strong strategic, collaboration, and communication skills
• Strong organization, planning, and prioritization skills with an ability to meet tight deadlines
• Strong written and verbal communication skills in English
• Experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus
• Pharma affiliate experience is a plus

Qualifications

Must Haves

• A Master's or Doctoral-level degree in applied statistics, health economics, and related quantitative fields
• A minimum of 3 years of hands-on experience working in the pharmaceutical industry, a consultancy, Access/HTA/reimbursement agency, or academic institution
• Demonstrate 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
• Strong strategic, collaboration, and communication skills
• Strong organization, planning, and prioritization skills with an ability to meet tight deadlines
• Strong written and verbal communication skills in English

Nice to Haves

• Experience with SAS, Python, WinBUGS, JAGS, or other relevant statistical software is a plus
• Pharma affiliate experience is a plus

Benefits

• Remote (employment_type: Remote)