Senior Research Scientist, Health Economic Modelling

The role

You will build health economic models in R and collaborate with a team of health economists, statisticians, and researchers. You will work on global, methodologically innovative projects for pharma and biotech clients.

What you will do

• Build health economic models in R
• Collaborate with a specialized team of health economists, statisticians and researchers
• Plan, program and report R-based and Excel-based cost-effectiveness simulation models
• Evaluate studies to identify key result drivers, assess data or methodological gaps and suggest solutions
• Program economic models in R and Excel/VBA from scratch
• Contribute to the development of client-ready study deliverables
• Present progress and results to technical and non-technical audiences
• Ensure timely delivery of project components

Required qualifications

• Master’s degree in health economics or statistics, or a related discipline
• Minimum of 4 years of relevant professional experience
• Proven R programming skills
• Experience with programming simulation-based cost-effectiveness models in R
• Understanding of and experience in the application of statistical methods in health economics, e.g., parametric survival regression model extrapolation, network meta-analyses, probabilistic sensitivit
• Experience with data analysis and statistical methodologies in the context of HTA, JCA and or regulatory submission, e.g., survival analysis, indirect treatment comparison
• Understanding of HTA and/or regulatory reimbursement mechanisms
• Willingness and desire to learn and share knowledge
• Strong multi-tasking and time management skills
• Highly developed analytical reasoning and problem-solving skills
• Ability to work effectively individually and as part of a diverse team
• Proficient with collaborative versioning software (i.e., git/GitHub)

Nice to have

• Experience with Python, C++ or other programming languages
• Experience with the hesim , shiny , Rcpp R packages
• Experience with Bayesian statistics and advanced modelling techniques
• Knowledge and experience in conducting indirect treatment comparisons such as network meta-analysis, matching-adjusted indirect comparison, and simulated treatment comparison

About the company

Precision Medicine Group is an established global organization. The Evidence Synthesis and Decision Modelling team is a growing team that values collaboration.