Consultant, Advanced Analytics – Meta-Analysis, HTA Statistician

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 Apply tot his job