Senior Research Scientist, Health Economics and Decision Modelling

Overview

Senior Research Scientist, Health Economics and Decision Modelling
London, England, UK

Do you consider yourself a self-starter with a real passion for projects involving innovative methods in health economics and evidence synthesis? Do you love collaborating, moving the ball forward, and rolling up your sleeves? Are you a health economist with a passion for R programming?

If so – we want to talk to you. We are growing and seeking a Senior Research Scientist with experience in building health economic models in R to join our Evidence Synthesis and Decision Modelling team. You will collaborate with a highly specialized team of health economists, statisticians and researchers in global, methodologically innovative projects for our pharma and biotech clients.

Responsibilities

• Collaborate with a team of health economists, statisticians and researchers on global, methodologically innovative projects for pharma and biotech clients.
• Build health economic models in R and lead simulation-based cost-effectiveness analyses in R and Excel/VBA.
• Plan, program and report R-based and Excel-based cost-effectiveness simulation models; apply statistical methods in health economics.
• Evaluate studies to identify key result drivers, assess data or methodological gaps, and propose solutions.
• Develop client-ready study deliverables including model conceptualization and analysis plans, interpretation of results and sensitivity analyses, and technical reports.
• Present progress and results clearly to both technical and non-technical audiences.
• Manage project components to ensure timely delivery; work effectively individually and as part of a diverse team.

Required Experience and Competencies

• Master’s degree in health economics or statistics, or a related discipline.
• Minimum of 4 years of relevant professional experience, ideally in a consulting environment serving biotech, pharmaceutical or healthcare clients.
• Proven R programming skills, and experience with programming cost-effectiveness simulation models in R.
• Understanding of and experience in statistical methods in health economics (e.g., parametric survival regression extrapolation, network meta-analyses, probabilistic sensitivity analyses).
• 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.

Helpful Experience and Competencies

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

Equality and privacy: Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. Data provided in applications will be stored in accordance with our Privacy Policy. For CA applicants, please refer to our CA Privacy Notice.

If you are an individual with a disability and require accommodation to complete any part of the application process, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com.

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