Senior Research Scientist, Health Economic Modelling

The role

You will build health economic models in R and collaborate with a specialized 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 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
• Develop client-ready study deliverables including model conceptualization and analysis plans
• Interpret model results and sensitivity analyses
• Prepare technical reports
• 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

Benefits

• Innovative Culture
• Passionate Team
• Growth Opportunities

Before you apply

• Candidates must be legally authorized to work in the country of employment without employer sponsorship

About the company

Precision Medicine Group is an Equal Opportunity Employer. The company offers an innovative culture with a passionate team and growth opportunities.