
Senior Statistician
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United Kingdom, +1 more country.
• Oversee statistical contributions and offer expert insights to various projects.
• Create comprehensive statistical analysis plans.
• Execute and document statistical analyses as independent research or for health economic models.
• Provide analytical support for clients, regulatory/reimbursement agencies, and publications.
• Conduct survival analyses, including parametric survival analyses and adjustments for treatment-switching/cross-over.
• Perform indirect treatment comparisons, network meta-analyses, population-adjusted indirect comparisons, and time-varying indirect treatment comparisons.
• Analyze data from clinical trials, observational studies, and real-world evidence.
• Supply statistical input for reimbursement submissions to health technology agencies.
• Collaborate with the Statistics team, broader Research team, and HEOR Consulting team.
• Engage professionally with clients and external stakeholders.
• Provide strategic guidance and oversight for statistical content in projects.
• Work in partnership with both internal and external subject-matter experts.
• Conduct programming, writing, quality control, mentoring, training, and line management activities.
• Contribute to opportunities in research and development.
• A postgraduate degree (MSc, PhD) in a statistical or mathematical discipline.
• Several years of professional experience in planning, executing, and reporting statistical analyses within a HEOR consultancy, HTA agency, biostatistics, or contract research organization (CRO) setting.
• Familiarity with Bayesian methods and techniques such as MCMC or HMC using JAGS, OpenBUGS, or Stan, with the ability to modify existing models.
• Experience in health research involving one or more of the following: hierarchical models; population-adjustment techniques; time-varying network meta-analysis; long-term survival extrapolation; treatment-switching adjustments; joint synthesis of related endpoints; and surrogate endpoint relationships.
• Ability to convert complex statistical methods into actionable solutions.
• Exceptional oral and written communication skills tailored for both technical and non-technical clients.
• Strong numerical and critical thinking skills.
• Proficient programming abilities.
• Experience with intermediate to advanced R programming, including package development, version control, and Shiny.
• Capacity to uphold, enhance, and expand the scientific reputation of the organization and to contribute to the development of new methods and processes.
• Experience in mentoring and/or managing staff.
• Competence in managing projects within established timelines, budgets, and scopes.
• Generous Annual Leave package.
• Comprehensive healthcare coverage.
• Competitive salary.
• Flexible working arrangements, including fully remote options and access to any Lumanity office as needed.
• Opportunities for professional development.
• Support for a healthy work-life balance.
• Opportunities for research and development for qualified candidates.
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