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Health Economics Consultant, Modelling

icon building Company : Parexel
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Job Description - Health Economics Consultant, Modelling

When our values align, there's no limit to what we can achieve.
 
At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.

Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.

Job Purposes: 
Lead the development and adaptation of health economic models for various markets, focusing on oncology, vaccines, and other pharmaceutical products. Coordinate and manage country-specific adaptations, ensuring quality and compliance with local requirements, while supporting internal teams and external suppliers. Leverage expertise in various modeling techniques and software to provide insights for reimbursement applications, train regional teams, and contribute to project planning and client communications.

Key Accountabilities:

Responsibilities

  • Coordinate day-to-day activities related to country adaptations in the local regional markets.

  • In alignment with internal Modelling leads, coordinate execution of health economics models for various markets.

  • Participate in discussions regarding the planning of these adaptations and plan for upcoming adaptations.

  • Support the development of project plans for the smooth flow of the adaptations.

  • Support coordination and completion of model request forms and development of all HECON model documents, including but not limited to input sheets.

  • Support administrative tasks associated with health economics modeling in agreement with the client.

  • Ensures quality of health economic model adaptations. Reviews and validates input sheets, and performs quality checks of local adaptations conducted by local suppliers in markets that prefer to use a qualified local supplier or internal Parexel/client staff for model adaptation.

  • Reviews model adaptations report for local submissions and training purposes.

  • Supports training of adapted health economic models for local and regional Operational Research/Market Access teams.

  • Write, refine, review, and critique sections of reports, journal manuscripts, and other deliverables for client or external delivery.

  • Act as primary point of contact and Project Lead, providing guidance and instruction to junior team members while being supported by the Project Director (senior team member).

Parexel-Related Responsibilities

  • Professional conduct at all working levels within a client organization and Parexel.

  • Complete basic job-related responsibilities, including timesheets, expense reports, maintenance of CV, project deliverable archiving, etc.

Experience and Skills

  • Demonstrated relevant experience in health economics modeling and model adaptations for at least 3 years – this is a must.

  • Able to work across several products/indications in oncology, vaccines, and other global pharma products.

  • Experienced and knowledgeable in model adaptation to review Markov, partition-survival models, discrete-event simulation, etc.

  • Well-versed in reviewing models in different software, e.g., MS Excel, VBA, R (including Shiny), etc.

  • A high degree of written accuracy and attention to detail

  • Good communication skills, both oral and in writing, especially in the relaying of technical information

  • Strong interpersonal, organizational, and communication skills with the ability to interact with individuals from a variety of disciplines.

  • Self-motivation, enthusiasm, ambition, and flexibility

  • Fluent English (additional languages are appreciated)

Education

  • Minimum Master's degree, in Health Economics, Biostatistics, Health Services Research, Decision Sciences, Actuarial Sciences, or a closely related, quantitative field.

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