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Senior Research Scientist, Health Economic Modelling

Job not on LinkedIn

🔥 18 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

đźź  Senior

🧬 Research Scientist

Where this job comes from

Posted on PRECISIONvalue's careers page, not through a job board

First seen by Remote Rocketship 18 hours ago

Still open on PRECISIONvalue's site. Checked 3 minutes ago.

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PRECISIONvalue

501 - 1000 employees

đź’Ľ Consulting

🏥 Healthcare

⚕️ Healthcare Insurance

Consulting • Healthcare • Healthcare Insurance

PRECISIONvalue is a company that specializes in market access and commercialization strategies for life sciences and pharmaceutical industries. They leverage a team of experts, including former payer decision makers, to provide insights across various market channels. Their services include demonstrating the value of life-science innovations, strategic market access, training solutions, and developing key insights for commercialization success. PRECISIONvalue also offers on-demand webinars, white papers, and forums to share exclusive insights with their clients. They focus on ensuring that life-changing medicines are accessible to patients by combining scientific data and empathetic communication strategies to maximize commercial success.

đź“‹ Description

• Build health economic models in R for the Evidence Synthesis and Decision Modelling team • Collaborate with health economists, statisticians and researchers on global, methodologically innovative projects for pharmaceutical and biotech clients • Interpret clinical and health economic study results independently • Lead implementation of simulation-based cost-effectiveness analyses in R and Excel/VBA • Plan, program and report R-based and Excel-based cost-effectiveness simulation models • Evaluate studies to identify key result drivers and assess data or methodological gaps • Suggest solutions to data or methodological gaps • Develop client-ready study deliverables, including model conceptualization and analysis plans • Analyze and interpret model results and sensitivity analyses • Prepare technical reports and written documentation • Analyze and visualize data • Present progress and results to technical and non-technical audiences, internally and externally • Ensure timely delivery of project components • Work independently and as part of a diverse team

🎯 Requirements

• 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 • Background in health economics, statistics or a related field • HEOR experience • Solid understanding of the pharmaceutical industry and drug reimbursement processes • Ability to independently interpret clinical and health economic study results • Ability to lead simulation-based cost-effectiveness analyses in R and Excel/VBA • Experience planning, programming and reporting R-based and Excel-based cost-effectiveness simulation models • Applied knowledge of statistical methods in health economics, including parametric survival regression model extrapolation, network meta-analyses and probabilistic sensitivity analyses • Proven R programming skills and experience programming cost-effectiveness simulation models in R • Ability to program economic models independently in R and Excel/VBA from scratch • Proficiency with git/GitHub • Expert Excel and Visual Basic for Applications (VBA) programming skills • Skills in preparing written documentation and presenting results using Microsoft Word and PowerPoint • Ability to present progress and results clearly to technical and non-technical audiences • 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 • Willingness and desire to learn and share knowledge • Helpful: experience with Python, C++ or other programming languages • Helpful: experience with hesim, shiny and Rcpp R packages • Helpful: experience with Bayesian statistics and advanced modelling techniques • Helpful: knowledge and experience conducting indirect treatment comparisons, including network meta-analysis, matching-adjusted indirect comparison and simulated treatment comparison • Candidates must be legally authorized to work in the country of employment without employer sponsorship

🏖️ Benefits

• Innovative Culture: Experience the excitement of a start-up within a well-funded, established global organization • Passionate Team: Work with a team that has a real passion for Health Economics and Outcomes Research (HEOR) and prides itself on being visionary leaders in the field • Growth Opportunities: Be part of a growing team that values collaboration and making a real difference in healthcare • Equal Opportunity Employer • Reasonable accommodation available for applicants with disabilities • AI opt-out option during the application journey

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