About the role

Senior Statistician advancing HEOR and HTA evidence for Lumanity’s life-sciences clients. Leading Bayesian, survival and indirect-treatment analyses for reimbursement and publication.

Responsibilities

Lead statistical input and provide expert guidance to projects
Develop statistical analysis plans
Perform and report statistical analyses as standalone research or for health economic models
Provide analyses for clients, governing/reimbursement bodies and publications
Conduct survival analyses, including parametric survival analyses and treatment-switching/cross-over adjustments
Perform indirect treatment comparisons, network meta-analyses, population-adjusted indirect comparisons and time-varying indirect treatment comparisons
Analyze clinical trial data, observational data and real-world evidence
Provide statistical input into reimbursement submissions to health technology agencies
Collaborate with the Statistics team, wider Research team and HEOR Consulting team
Interact professionally with clients and external stakeholders
Provide strategic input and oversight of statistical content on projects
Collaborate with internal and external subject-matter experts
Perform programming, writing, quality control, mentoring, training and line management
Contribute to research and development opportunities

A postgraduate qualification (MSc, PhD) in a statistical/mathematical topic
Multiple years of professional experience planning, performing and reporting statistical analyses within a HEOR consultancy, HTA agency, biostatistics or contract research organization (CRO) environment
Experience with Bayesian methods and techniques such as MCMC or HMC using JAGS, OpenBUGS or Stan, including the capability to adapt existing models
Experience in health research with one or more of: hierarchical models; population-adjustment methods; time-varying network-meta-analysis methods; long-term survival extrapolation; treatment-switching adjustment; joint synthesis of related endpoints and surrogate endpoint relationships
Ability to translate complex statistical methods into practical solutions
Excellent oral and written communication skills for technical and non-technical clients
Excellent numerical and critical thinking ability
Excellent programming skills
Experience with intermediate/advanced R programming, including building packages, version control and Shiny
Ability to support, maintain and expand the scientific reputation of the business and contribute to new methods/process development
Experience with mentoring and/or line management of staff
Understanding of managing projects within timelines, budget and scope

Generous Annual Leave package
Comprehensive healthcare
Competitive compensation
Flexible work setting options, including fully remote work and options to work in any Lumanity office as needed
Professional development opportunities
Healthy work-life balance
Research and development opportunities for suitable candidates