Employer description & source details
Lead and deliver statistical analyses supporting evidence generation, comparative effectiveness research, and healthcare decision-making projects. Design and implement fit-for-purpose analytical approaches that address client objectives and research questions. Conduct statistical analyses and develop reproducible analytical workflows using R. Lead analytical workstreams and contribute to project planning, delivery, and quality assurance activities. Interpret and communicate complex analytical findings to technical and non-technical audiences. Support HTA, reimbursement, market access, and Joint Clinical Assessment evidence-generation activities. Mentor junior team members and contribute to methodological best practices. Contribute to scientific publications, conference presentations, proposals, and thought leadership activities. Master's degree or PhD in Statistics, Biostatistics, Epidemiology, Health Economics, Data Science, or a related quantitative discipline. Approximately 4 years or more of relevant professional experience. Strong R programming skills and experience conducting statistical analyses. Experience applying statistical methods to healthcare, outcomes research, evidence generation, or related research areas. Experience with evidence synthesis and comparative effectiveness research. Strong analytical reasoning and problem-solving skills. Ability to communicate complex findings clearly and effectively. Ability to work independently and as part of a multidisciplinary team. Knowledge of indirect treatment comparison methodologies such as network meta-analysis (NMA), matching-adjusted indirect comparison (MAIC), simulated treatment comparison (STC), or similar approaches. Experience with external control arm (ECA) analyses Experience with survival analysis, ti
Extracted skills: python