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Scientist, Hta Ce Modelling
il y a 2 semaines
Janssen EMEA Market Access is looking for talented people to expand capabilities in health economic modelling to support Market Access in the EMEA region.
_- The expert in Health economics modelling will be responsible for _
- _Integrate data into models from a variety of data sources, including indirect comparisons/network-meta-analyses based on systematic literature reviews, clinical trials, costing studies and retrospective database analyses _
- _Guide collection of local data for model adaptations for country specific needs _
- _Develop technical reports adapted to needs of local markets; communicate analysis results _
- _Optimize methodological expertise on both modelling and statistical topics: keeping track of new developments in modelling methodology and associated analytical/statistical analyses providing the building blocks/input parameters of the modelling, through literature review and attendance/participation at workshops and professional meetings. _
- _Contribute to spreading best practices / lessons learned within the region _
Qualifications:
- _Master's or PhD degree in a relevant discipline, including health economics, applied statistics, epidemiology, econometrics or equivalent by experience, with strong methodological and statistical/quantitative background and interest. _
- _3+ years of relevant hands-on working experience in the development of HTA compliant health economic models, including cost-effectiveness modelling and budget-impact modelling, and experience with state-of-the-art modelling approaches. _
- _Solid background in Health Economics, HTA processes and understanding of the reimbursement requirements for key EMEA markets. _
- _In depth understanding of quantitative/statistical analyses results used as inputs for the cost-effectiveness models economic model, including systematic reviews/network meta-analysis and parametric extrapolation of survival data. _
- _Advanced skills with Excel and Visual Basic programming for modelling. Solid hands-on experience with statistical programming language, by preference R. _
- _Ability to work independently as well as to collaborate across diverse cross-functional and cross-country teams. _
- _Excellent project management and organizational skills; able to manage to deliver high quality work with attention to detail and perfect execution across multiple projects within defined timelines. _
- _Strong written and oral communication skills; able to communicate modelling results to a non-technical audience. _
- _Strong intellectual curiosity and creativity _
- Location: Central Europe _
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