Senior Research Scientist, Health Economics and Decision Modelling

Precision Medicine Group; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading research organization in London is seeking a Senior Research Scientist passionate about health economics. You'll collaborate with specialists to develop innovative models and deliver impactful findings for pharma and biotech clients. Candidates should hold a Master's degree, have at least 4 years of relevant experience, and proficient R programming skills. This role promises a dynamic work environment focused on evidence synthesis and decision modeling.

Qualifications

• Minimum of 4 years of relevant professional experience in a consulting environment.
• Proven skills in programming cost-effectiveness simulation models in R.
• Understanding of statistical methods in health economics.

Responsibilities

• Collaborate with a highly specialized team on global projects.
• Build and implement health economic models in R.
• Present progress and results to technical and non-technical audiences.

Skills

R programming

Analytical reasoning

Time management

Problem-solving

Education

Master’s degree in health economics or statistics

Tools

Excel/VBA

Python

C++

Job description

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 and moving the ball forward? Are you a health economist with a passion for R programming?

If so, we are looking for 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 on globally oriented, methodologically innovative projects for pharma and biotech clients.

Responsibilities

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

Qualifications

• 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 applying statistical methods in health economics, e.g., parametric survival model extrapolation, network meta-analyses, probabilistic sensitivity analyses
• Willingness and desire to learn and share knowledge
• Strong multi-tasking and time management skills
• 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
• 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

Company and Compliance

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.

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