Senior Research Statistician

About this role

We are growing and seeking a Senior Research Scientist (Statistician) to join our Evidence Synthesis and Decision Modelling team. You will collaborate with a highly specialized team of statisticians, health economists, and researchers on global projects supporting evidence generation, comparative effectiveness research, health technology assessment (HTA), and decision-making for pharmaceutical and biotechnology clients.

About You Experienced Quantitative Researcher: You have a background in statistics, biostatistics, epidemiology, health economics, data science, or a related quantitative discipline, along with experience applying statistical methods in healthcare, life sciences, or outcomes research. Evidence Synthesis and Statistical Methods Experience: You have experience planning, conducting, and reporting analyses that support evidence synthesis and comparative effectiveness research.

You can critically assess clinical evidence, evaluate methodological assumptions, identify evidence gaps, and apply appropriate analytical methods to address complex research questions. Experience with indirect treatment comparison methodologies and analyses involving aggregate and/or individual patient-level data is desirable. Technical Proficiency: You demonstrate strong statistical programming skills, particularly in R, and experience developing reproducible analytical workflows.

You are comfortable working with complex datasets and applying a range of statistical methodologies appropriate to the research question. Deliverable Creation: You contribute to client-ready deliverables including analysis plans, technical reports, presentations, manuscripts, and conference materials, and can communicate findings to both technical and non-technical audiences. Key Responsibilities 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.