myGwork - LGBTQ+ Business Community · 3 days ago

Associate Health Economic Modeller

United States

Full-time

Remote

Entry, Mid Level

2+ years exp

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Responsibilities

Implement simulation models (e.g., discrete event simulation) and other decision-analytic models (e.g., decision trees, Markov, individual state-transition, survival partition) to assess the cost-effectiveness of healthcare interventions. Support scientific and financial project management, scoping, tracking progress, and teamwork for multiple projects.

Design and development of health economic models to conduct cost-effectiveness and budget impact analyses of healthcare interventions.

Program models using Microsoft Excel with Visual Basic for Applications (VBA) or simulation specialised software.

Conduct literature reviews with emphasis on extracting data pertinent to health economic evaluations and cost-effectiveness analyses.

Conduct basic statistical analyses (e.g., descriptive statistics and regression analysis).

Support development and maintenance of scientific resources (e.g., model templates, modelling training manuals).

Draft project deliverables (e.g., Excel with VBA based models, user guides, model specifications and technical reports) and draft abstracts and sections of manuscripts with possible co-authorship.

Track budget and expenses and monitor timelines and deliverables for multiple projects.

Support other "non-billable" activities as needed (e.g., draft proposals; informal mentoring of junior staff; develop relations with colleagues within the company).

Qualification

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Simulation ModelingDecision TreesMarkovState-TransitionStatisticsVBAR ProgrammingQuantitative SkillsResearch MethodsMicrosoft ExcelMicrosoft WordMicrosoft PowerPointProblem-SolvingInterpersonal CommunicationTime ManagementDetail-OrientedOrganizationHealth Care ModellingHealth-Economic Outcomes ResearchSimulation ModelsDecision-Analytic Software

Required

PhD or Master's degree in Operations Research, Mathematics, Economics, Engineering, Biostatistics or related field or Bachelor's degree in a similar program with more than two years of relevant work experience

Experience with programming simulation models (e.g., discrete event simulation) and other decision analytic models (e.g., decision trees, Markov, individual state-transition, survival partition) in Microsoft Excel or R is preferred

Practical knowledge of simulation modelling and implementation using Microsoft Excel

Prior experience with VBA, R, or other programming languages

Strong quantitative skills, with solid understanding of basic statistics

Ability to manage deadlines, multiple tasks and relationships in a fast-paced, team-oriented and lean environment

Basic understanding of research methods

Strong oral, written, and interpersonal communication skills

Extremely detail-oriented with strong organization skills

Advanced Microsoft Excel modelling skills. Proficiency in Microsoft Word, and Microsoft PowerPoint