Job Description:
• The Consultant, Advanced Analytics: Meta-Analysis contributes statistical capabilities and methodological leadership at all stages of projects, from planning to completion.
• 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.
Requirements:
• 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.
Benefits:
• health insurance
• retirement plans
• paid time off
• flexible work arrangements
• professional development
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