Senior Statistician

Lumanity is dedicated to improving patient health by accelerating and optimizing access to medical advances.  We partner with life sciences companies around the world to generate evidence to demonstrate the value of their product, translate the science and data into compelling product narratives, and enable commercial decisions that position these products for success in the market. We do this through strategic and complimentary areas of focus: Asset Optimization and Commercialization, Value Access and Outcomes, Medical Strategy and Communications, and Real-World Evidence.

We are seeking a seasoned Statistician with a background in HEOR/HT to join our Modelling and Analytics team within our wider Health Economics and Outcomes Research business. In this senior level role, the statistician will play a key and influential role and contribute to the growth and evolution of the team.

Key responsibilities will include, but not be limited to: leading statistical input and providing expert guidance to projects, developing statistical analysis plans, performing and reporting statistical analysis as standalone research or for input into health economic models that will provide direct information to clients, and governing/reimbursement bodies and/or for publication. Common types of analyses/projects performed include, but are not restricted to:

• Survival analyses:
  • Parametric survival analyses
  • Fractional polynomial modelling
  • Adjustments from treatment switch/cross-over within clinical trials
• Indirect treatment comparisons
  • Network meta-analyses
  • Mixed treatment comparison
  • Matched adjusted indirect comparisons
• Analyses of clinical trial data (e.g. quality of life)
• Analyses of observational data/real world evidence
• Statistical input into reimbursement submissions to health technology agencies

The successful candidate should be motivated to learn and apply new methodologies and techniques in the evolving field of health technology assessment and reimbursement.

Close collaboration, both within the Statistics team and cross- functionally with the Evidence Review, Strategic Insights, and Health Economics teams, is an essential part of the role. Furthermore, this role is client-facing, and you will be required to contribute directly to business development via input into proposals to clients.

The role can be tailored to an individual candidate’s strengths and aspirations, but will include a mix of roles and responsibilities, including strategic input and oversight of statistical content on projects, collaboration internally and externally with experts in specific fields, programming, writing (planning, reporting, manuscripts and submission documents), quality control, mentoring, training, and for the suitable candidate, there are line management opportunities.

This opportunity offers flexible work setting options to suit individual needs. This can be fully remote with options to work in any of our offices as needed, if preferred.

The ideal candidate is an enthusiastic statistician that enjoys investigating new methods, supporting and coaching other statisticians and health economists, and has the vision and flexibility approach required to contribute to the growth and evolution of the business.

• A postgraduate qualification (MSc, PhD) in a statistical/mathematical topic
• Experience with Bayesian methods and techniques such as MCMC or HMC implemented using software such as JAGS, OpenBUGS or Stan including the capability to implement novel models and adapt existing models is essential. Experience in health research with one or more of the following would be an advantage:
• Use of hierarchical models for statistical modelling and data synthesis
• Synthesis of clinical trial data with external data such as previous trials, general population mortality or observational data as prior information to inform long term extrapolation of outcomes
• Incorporation of expert opinion to inform estimation and extrapolation of clinical outcomes
• Joint synthesis of related endpoints and application to surrogate endpoint relationships
• Ability to take complex statistical methods and approaches and relay these into practicable solutions for the Statistics and Health Economics team
• Excellent oral and written communication skills with a view to liaising with technical and non-technical clients (both internally and externally). The ability to clearly communicate technical content to a non-technical audience is a key requirement of this role.
• Excellent numerical and critical thinking ability
• Excellent programming skills. Experience with intermediate/advanced concepts in R programming such as building packages, version control and the use of Shiny would be beneficial.
• Experience working within a Data Science, Statistics, Health Economics or other similar data analysis focused team, with demonstrated ability to contribute to new methods/processes for the team
• Experience working in a role planning, performing and reporting statistical analyses within a consultancy/contract research organization (CRO) environment would be an advantage but is not essential
• Ability to help support, maintain and expand the academic reputation of the business
• Experience contributing to scoping of statements of work (desired not essential)
• Experience with mentoring and/or line management of staff (desired not essential)
• Understanding of the importance of managing projects within timelines, budget and scope

We offer our employees a comprehensive benefits package that focuses on what matters to you – health and well-being, personal finances, professional development, and a strong culture of, and passionate dedication to, healthy work-life balance:

• Generous PTO
• Comprehensive healthcare 
• Competitive compensation

Compensation: A range, mid-point of $130,000

#LI-Remote