Senior Research Scientist, Health Economics and Decision Modelling

Overview

Senior Research Scientist, Health Economics and Decision Modelling — London, England, UKDo 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 CompliancePrecision 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.

If you require a reasonable accommodation to complete any part of the application process, you may contact the HR team at the company.

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